On the public citation graph

Ten quick tips for biomarker discovery and validation analyses using machine learning

https://doi.org/10.1371/journal.pcbi.1010357

0 signed · 182 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119490616.ch9openalex-snapshot

Machine Learning Algorithms

inferredcites →https://doi.org/10.1002/hbm.10062openalex-snapshot

Fast robust automated brain extraction

inferredcites →https://doi.org/10.1002/pmic.200600549openalex-snapshot

Minimum Reporting Requirements for Proteomics: A MIAPE Primer

inferredcites →https://doi.org/10.1002/pmic.201900264openalex-snapshot

pseudoQC: A Regression‐Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets

inferredcites →https://doi.org/10.1002/sim.6246openalex-snapshot

Investigating the prediction ability of survival models based on both clinical and omics data: two case studies

inferredcites →https://doi.org/10.1002/sim.6732openalex-snapshot

Better prediction by use of co‐data: adaptive group‐regularized ridge regression

inferredcites →https://doi.org/10.1006/cbmr.1996.0014openalex-snapshot

AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-snapshot

Ensemble Methods in Machine Learning

inferredcites →https://doi.org/10.1007/978-1-0716-1839-4_7openalex-snapshot

Microarray Data Preprocessing: From Experimental Design to Differential Analysis

inferredcites →https://doi.org/10.1007/978-1-4614-6849-3openalex-snapshot

Applied Predictive Modeling

inferredcites →https://doi.org/10.1007/978-1-4614-7138-7openalex-snapshot

An Introduction to Statistical Learning

inferredcites →https://doi.org/10.1007/978-1-4842-6579-6openalex-snapshot

Hyperparameter Optimization in Machine Learning

inferredcites →https://doi.org/10.1007/978-3-319-19425-7openalex-snapshot

Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis

inferredcites →https://doi.org/10.1007/978-3-319-98074-4openalex-snapshot

Learning from Imbalanced Data Sets

inferredcites →https://doi.org/10.1007/978-94-007-7681-4_14openalex-snapshot

OMICS for Tumor Biomarker Research

inferredcites →https://doi.org/10.1007/s10654-016-0149-3openalex-snapshot

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

inferredcites →https://doi.org/10.1007/s11634-019-00375-6openalex-snapshot

Sparse classification with paired covariates

inferredcites →https://doi.org/10.1007/s42113-018-0011-7openalex-snapshot

Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection

inferredcites →https://doi.org/10.1016/j.arr.2018.07.004openalex-snapshot

Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases

inferredcites →https://doi.org/10.1016/j.cca.2013.09.018openalex-snapshot

From biomarkers to medical tests: The changing landscape of test evaluation

inferredcites →https://doi.org/10.1016/j.csda.2009.04.009openalex-snapshot

Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap

inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

inferredcites →https://doi.org/10.1016/j.ins.2009.12.010openalex-snapshot

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

inferredcites →https://doi.org/10.1016/j.jmp.2018.12.004openalex-snapshot

Shrinkage priors for Bayesian penalized regression

inferredcites →https://doi.org/10.1016/j.patcog.2003.08.017openalex-snapshot

Bolstered error estimation

inferredcites →https://doi.org/10.1016/j.tibtech.2004.06.005openalex-snapshot

Biomarker discovery and validation: technologies and integrative approaches

inferredcites →https://doi.org/10.1016/j.ymeth.2019.06.017openalex-snapshot

Pathway-based deep clustering for molecular subtyping of cancer

inferredcites →https://doi.org/10.1016/j.ymeth.2021.08.001openalex-snapshot

NetAUC: A network-based multi-biomarker identification method by AUC optimization

inferredcites →https://doi.org/10.1016/s0893-6080(05)80023-1openalex-snapshot

Stacked generalization

inferredcites →https://doi.org/10.1016/s2589-7500(20)30292-2openalex-snapshot

Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis

inferredcites →https://doi.org/10.1017/cbo9780511803161openalex-snapshot

Causality

inferredcites →https://doi.org/10.1017/cbo9781316576533openalex-snapshot

Computer Age Statistical Inference

inferredcites →https://doi.org/10.1021/acs.analchem.0c00136openalex-snapshot

Concepts and Software Package for Efficient Quality Control in Targeted Metabolomics Studies: MeTaQuaC

inferredcites →https://doi.org/10.1021/pr401264nopenalex-snapshot

Normalyzer: A Tool for Rapid Evaluation of Normalization Methods for Omics Data Sets

inferredcites →https://doi.org/10.1023/a:1018046112532openalex-snapshot

Stacked Regressions

inferredcites →https://doi.org/10.1023/b:mach.0000015881.36452.6eopenalex-snapshot

Is Combining Classifiers with Stacking Better than Selecting the Best One?

inferredcites →https://doi.org/10.1038/nature12564openalex-snapshot

Criteria for the use of omics-based predictors in clinical trials

inferredcites →https://doi.org/10.1038/nbt.1411openalex-snapshot

Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

inferredcites →https://doi.org/10.1038/nbt.4314openalex-snapshot

Dimensionality reduction for visualizing single-cell data using UMAP

inferredcites →https://doi.org/10.1038/nmeth.1436openalex-snapshot

Visualization of omics data for systems biology

inferredcites →https://doi.org/10.1038/nmeth.3934openalex-snapshot

A clash of cultures in discussions of the P value

inferredcites →https://doi.org/10.1038/s41467-020-16937-8openalex-snapshot

Harmonization of quality metrics and power calculation in multi-omic studies

inferredcites →https://doi.org/10.1038/s41568-020-00327-9openalex-snapshot

Designing deep learning studies in cancer diagnostics

inferredcites →https://doi.org/10.1038/s41746-019-0090-4openalex-snapshot

Developing and adopting safe and effective digital biomarkers to improve patient outcomes

inferredcites →https://doi.org/10.1055/s-0041-1735167openalex-snapshot

A State-of-the Art Review of SNOMED CT Terminology Binding and Recommendations for Practice and Research

inferredcites →https://doi.org/10.1073/pnas.102102699openalex-snapshot

Selection bias in gene extraction on the basis of microarray gene-expression data

inferredcites →https://doi.org/10.1080/00031305.2019.1583913openalex-snapshot

Moving to a World Beyond “ p < 0.05”

inferredcites →https://doi.org/10.1080/01621459.1997.10474007openalex-snapshot

Improvements on Cross-Validation: The .632+ Bootstrap Method

inferredcites →https://doi.org/10.1089/1536231041388348openalex-snapshot

Discrimination Models Using Variance-Stabilizing Transformation of Metabolomic NMR Data

inferredcites →https://doi.org/10.1093/bib/bbaa167openalex-snapshot

Large-scale benchmark study of survival prediction methods using multi-omics data

inferredcites →https://doi.org/10.1093/bib/bbv044openalex-snapshot

Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification

inferredcites →https://doi.org/10.1093/bib/bbw113openalex-snapshot

A review on machine learning principles for multi-view biological data integration

inferredcites →https://doi.org/10.1093/bib/bbz136openalex-snapshot

Combining clinical and molecular data in regression prediction models: insights from a simulation study

inferredcites →https://doi.org/10.1093/bioinformatics/btaa535openalex-snapshot

Predictive and interpretable models via the stacked elastic net

inferredcites →https://doi.org/10.1093/bioinformatics/btg107openalex-snapshot

Approximate variance-stabilizing transformations for gene-expression microarray data

inferredcites →https://doi.org/10.1093/bioinformatics/bti517openalex-snapshot

Computational cluster validation in post-genomic data analysis

inferredcites →https://doi.org/10.1093/bioinformatics/btn647openalex-snapshot

arrayQualityMetrics—a bioconductor package for quality assessment of microarray data

inferredcites →https://doi.org/10.1093/bioinformatics/btq005openalex-snapshot

Bayesian rule learning for biomedical data mining

inferredcites →https://doi.org/10.1093/bioinformatics/btr518openalex-snapshot

High-dimensional bolstered error estimation

inferredcites →https://doi.org/10.1093/bioinformatics/btw449openalex-snapshot

TANDEM: a two-stage approach to maximize interpretability of drug response models based on multiple molecular data types

inferredcites →https://doi.org/10.1093/bioinformatics/btx373openalex-snapshot

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

inferredcites →https://doi.org/10.1093/biomet/asaa007openalex-snapshot

Sparse semiparametric canonical correlation analysis for data of mixed types

inferredcites →https://doi.org/10.1093/biomet/asx009openalex-snapshot

Instrumental variables as bias amplifiers with general outcome and confounding

inferredcites →https://doi.org/10.1093/biostatistics/kxp011openalex-snapshot

Testing the prediction error difference between 2 predictors

inferredcites →https://doi.org/10.1093/biostatistics/kxv027openalex-snapshot

Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses

inferredcites →https://doi.org/10.1093/jnci/djk018openalex-snapshot

Critical Review of Published Microarray Studies for Cancer Outcome and Guidelines on Statistical Analysis and Reporting

inferredcites →https://doi.org/10.1093/nar/gkr972openalex-snapshot

Disease Ontology: a backbone for disease semantic integration

inferredcites →https://doi.org/10.1097/ede.0b013e3181c30fb2openalex-snapshot

Assessing the Performance of Prediction Models

inferredcites →https://doi.org/10.1100/tsw.2009.57openalex-snapshot

Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges

inferredcites →https://doi.org/10.1109/ijcnn.2005.1556085openalex-snapshot

Efficient parameter selection for support vector machines in classification and regression via model-based global optimization

inferredcites →https://doi.org/10.1109/jbhi.2019.2944865openalex-snapshot

Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests

inferredcites →https://doi.org/10.1109/tpami.2021.3131976openalex-snapshot

The Conditional Super Learner

inferredcites →https://doi.org/10.1109/tsmcc.2011.2161285openalex-snapshot

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

inferredcites →https://doi.org/10.1111/insr.12016openalex-snapshot

Fifty Years of Classification and Regression Trees

inferredcites →https://doi.org/10.1111/insr.12060openalex-snapshot

Discussion

inferredcites →https://doi.org/10.1111/j.1365-313x.2007.03387.xopenalex-snapshot

Quality control for plant metabolomics: reporting MSI‐compliant studies

inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot

Regularization and Variable Selection Via the Elastic Net

inferredcites →https://doi.org/10.1126/science.aaf5406openalex-snapshot

Aligning statistical and scientific reasoning

inferredcites →https://doi.org/10.1136/bmj.a2390openalex-snapshot

Improving the reporting of pragmatic trials: an extension of the CONSORT statement

inferredcites →https://doi.org/10.1136/bmj.h5527openalex-snapshot

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

inferredcites →https://doi.org/10.1137/1.9781611972887.11openalex-snapshot

Consensus Clustering Algorithms: Comparison and Refinement

inferredcites →https://doi.org/10.1142/9789812799470_0018openalex-snapshot

LEARNING DECISION RULES FROM UNCERTAIN DATA USING ROUGH SETS

inferredcites →https://doi.org/10.1142/s0218001419500174openalex-snapshot

A Review on Dimensionality Reduction Techniques

inferredcites →https://doi.org/10.1145/2487575.2487579openalex-snapshot

Accurate intelligible models with pairwise interactions

inferredcites →https://doi.org/10.1145/3448326.3448353openalex-snapshot

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark

inferredcites →https://doi.org/10.1159/000323136openalex-snapshot

Matching, an Appealing Method to Avoid Confounding?

inferredcites →https://doi.org/10.1162/0899766042321814openalex-snapshot

Canonical Correlation Analysis: An Overview with Application to Learning Methods

inferredcites →https://doi.org/10.1162/neco_a_01273openalex-snapshot

A Survey on Deep Learning for Multimodal Data Fusion

inferredcites →https://doi.org/10.1186/1471-2105-10-193openalex-snapshot

Filtering Genes for Cluster and Network Analysis

inferredcites →https://doi.org/10.1186/1471-2105-12-49openalex-snapshot

A novel approach to the clustering of microarray data via nonparametric density estimation

inferredcites →https://doi.org/10.1186/1471-2105-15-91openalex-snapshot

Differential meta-analysis of RNA-seq data from multiple studies

inferredcites →https://doi.org/10.1186/1471-2105-7-3openalex-snapshot

Gene selection and classification of microarray data using random forest

inferredcites →https://doi.org/10.1186/s12859-014-0385-zopenalex-snapshot

Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

inferredcites →https://doi.org/10.1186/s12859-019-2748-yopenalex-snapshot

Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium

inferredcites →https://doi.org/10.1186/s12859-019-2780-yopenalex-snapshot

Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data

inferredcites →https://doi.org/10.1186/s12859-020-03603-5openalex-snapshot

A cell-level quality control workflow for high-throughput image analysis

inferredcites →https://doi.org/10.1186/s12874-017-0332-6openalex-snapshot

Time-dependent ROC curve analysis in medical research: current methods and applications

inferredcites →https://doi.org/10.1186/s12874-019-0802-0openalex-snapshot

A plea for taking all available clinical information into account when assessing the predictive value of omics data

inferredcites →https://doi.org/10.1186/s12911-020-01332-6openalex-snapshot

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

inferredcites →https://doi.org/10.1186/s12916-014-0241-zopenalex-snapshot

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

inferredcites →https://doi.org/10.1186/s13040-016-0106-4openalex-snapshot

Functional networks inference from rule-based machine learning models

inferredcites →https://doi.org/10.1186/s13059-019-1874-1openalex-snapshot

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot

A survey of transfer learning

inferredcites →https://doi.org/10.1186/s40537-017-0110-7openalex-snapshot

Big healthcare data: preserving security and privacy

inferredcites →https://doi.org/10.1186/s41073-016-0014-7openalex-snapshot

Updating standards for reporting diagnostic accuracy: the development of STARD 2015

inferredcites →https://doi.org/10.1186/s41512-017-0020-3openalex-snapshot

The Brier score does not evaluate the clinical utility of diagnostic tests or prediction models

inferredcites →https://doi.org/10.1201/9780429156397openalex-snapshot

Multiple Imputation of Missing Data in Practice

inferredcites →https://doi.org/10.1201/9780429341830openalex-snapshot

Introduction to Data Science

inferredcites →https://doi.org/10.1201/b12832openalex-snapshot

Practical Guide to Clinical Data Management

inferredcites →https://doi.org/10.1214/17-aoas1125openalex-snapshot

Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications

inferredcites →https://doi.org/10.12688/f1000research.14361.1openalex-snapshot

freesurfer: Connecting the Freesurfer software with R

inferredcites →https://doi.org/10.1371/journal.pcbi.1003047openalex-snapshot

Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

inferredcites →https://doi.org/10.1371/journal.pone.0039932openalex-snapshot

Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

inferredcites →https://doi.org/10.1613/jair.1.11192openalex-snapshot

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

inferredcites →https://doi.org/10.17706/ijcee.2017.9.1.343-350openalex-snapshot

Comparative Study between Validity Indices to Obtain the Optimal Cluster

inferredcites →https://doi.org/10.18547/gcb.2016.vol2.iss1.e32openalex-snapshot

Integrating Heterogeneous omics Data via Statistical Inference and Learning Techniques

inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-snapshot

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

inferredcites →https://doi.org/10.20982/tqmp.02.1.p011openalex-snapshot

Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects

inferredcites →https://doi.org/10.2134/appliedstatistics.2015.0074.c3openalex-snapshot

Blocking Principles for Biological Experiments

inferredcites →https://doi.org/10.2307/2110441openalex-snapshot

An Introduction to Nonmetric Multidimensional Scaling

inferredcites →https://doi.org/10.2307/2981445openalex-snapshot

Applied Linear Regression.

inferredcites →https://doi.org/10.3233/shti210815openalex-snapshot

Transfer of Clinical Drug Data to a Research Infrastructure on OMOP – A FAIR Concept

inferredcites →https://doi.org/10.32614/rj-2018-039openalex-snapshot

dimRed and coRanking - Unifying Dimensionality Reduction in R

inferredcites →https://doi.org/10.3389/fgene.2013.00270openalex-snapshot

Evaluation of the lasso and the elastic net in genome-wide association studies

inferredcites →https://doi.org/10.3389/fnins.2021.633438openalex-snapshot

Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center

inferredcites →https://doi.org/10.3390/books978-3-03928-745-1openalex-snapshot

Systems Analytics and Integration of Big Omics Data

inferredcites →https://doi.org/10.3390/cells10040953openalex-snapshot

The Impact of Preprocessing Methods for a Successful Prostate Cell Lines Discrimination Using Partial Least Squares Regression and Discriminant Analysis Based on Fourier Transform Infrared Imaging

inferredcites →https://doi.org/10.3390/e23010018openalex-snapshot

Explainable AI: A Review of Machine Learning Interpretability Methods

inferredcites →https://doi.org/10.3390/genes11030245openalex-snapshot

An Introduction to Systems Analytics and Integration of Big Omics Data

inferredcites →https://doi.org/10.3414/me9236openalex-snapshot

CDISC Standard-based Electronic Archiving of Clinical Trials

inferredcites →https://doi.org/10.4135/9781412963855.n640openalex-snapshot

International Classification of Diseases (ICD)

inferredcites →https://doi.org/10.5555/1248659.1248690openalex-snapshot

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters

inferredcites →https://doi.org/10.5555/645527.657305openalex-snapshot

Generating Accurate Rule Sets Without Global Optimization

inferredcites →https://doi.org/10.5808/gi.2020.18.1.e10openalex-snapshot

Accelerating next generation sequencing data analysis: an evaluation of optimized best practices for Genome Analysis Toolkit algorithms

inferredcites →https://doi.org/10.7275/qbpc-gk17openalex-snapshot

Improving your data transformations: Applying the Box-Cox transformation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4833069openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-1-0716-3441-7_16openalex-snapshot

Applications of Big Data and AI-Driven Technologies in CADD (Computer-Aided Drug Design)

inferred← citeshttps://doi.org/10.1007/978-981-96-9346-7_6openalex-snapshot

Genomics and Bioinformatics in the Discovery and Validation of Diagnostic Biomarkers

inferred← citeshttps://doi.org/10.1007/s00345-024-05006-0openalex-snapshot

Letter to the editor for the article “identification of biomarkers and potential therapeutic targets of kidney stone disease using bioinformatics”

inferred← citeshttps://doi.org/10.1007/s11255-025-04912-5openalex-snapshot

Artificial intelligence and multi-omics integration in liquid biopsy for genitourinary cancers: a systematic scoping review

inferred← citeshttps://doi.org/10.1007/s12033-024-01133-6openalex-snapshot

From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

inferred← citeshttps://doi.org/10.1016/j.canlet.2024.217245openalex-snapshot

A rigorous multi-laboratory study of known PDAC biomarkers identifies increased sensitivity and specificity over CA19-9 alone

inferred← citeshttps://doi.org/10.1016/j.jhepr.2026.101826openalex-snapshot

AI-guided additive scoring model for differential diagnosis of primary liver cancer

inferred← citeshttps://doi.org/10.1016/j.jmoldx.2024.06.008openalex-snapshot

A Network-Based Framework to Discover Treatment-Response–Predicting Biomarkers for Complex Diseases

inferred← citeshttps://doi.org/10.1016/j.microc.2026.119693openalex-snapshot

Applications of Labeled compounds for target identification in environmental toxicology

inferred← citeshttps://doi.org/10.1016/j.mlwa.2025.100757openalex-snapshot

Matthews correlation coefficient-based feature ranking in recursive ensemble feature selection for high-dimensional and low-sample size data

inferred← citeshttps://doi.org/10.1021/acs.jproteome.3c00366openalex-snapshot

Deciphering Protein Secretion from the Brain to Cerebrospinal Fluid for Biomarker Discovery

inferred← citeshttps://doi.org/10.1038/s41398-026-03930-wopenalex-snapshot

A cautionary tale for AI and machine learning in psychiatry

inferred← citeshttps://doi.org/10.1038/s41591-026-04309-6openalex-snapshot

Five tenets for advancing evidence-based precision medicine

inferred← citeshttps://doi.org/10.1038/s41598-024-79161-0openalex-snapshot

The PERMIT guidelines for designing and implementing all stages of personalised medicine research

inferred← citeshttps://doi.org/10.1038/s44184-026-00197-3openalex-snapshot

A multi-omics analysis of gut bacteriome, virome, and serum metabolome in bipolar depression

inferred← citeshttps://doi.org/10.1080/14737159.2023.2187290openalex-snapshot

Statistical determination of cancer biomarkers: moving forward clinically

inferred← citeshttps://doi.org/10.1093/bib/bbaf073openalex-snapshot

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery

inferred← citeshttps://doi.org/10.1097/mnh.0000000000000927openalex-snapshot

Identification and detection of microRNA kidney disease biomarkers in liquid biopsies

inferred← citeshttps://doi.org/10.1155/humu/5730260openalex-snapshot

Knowledge Mapping of Human Genetic Variation in Multiomics Biomarker Translation: A Bibliometric Analysis

inferred← citeshttps://doi.org/10.1161/circgen.124.004953openalex-snapshot

Molecular Phenogroups in Heart Failure: Large-Scale Proteomics in a Population-Based Cohort

inferred← citeshttps://doi.org/10.1161/circgen.125.005341openalex-snapshot

Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population

inferred← citeshttps://doi.org/10.11648/j.cbb.20241201.11openalex-snapshot

From Data to Diagnosis Exploring AWS Cloud Solutions in Multi-Omics Breast Cancer Biomarker Research

inferred← citeshttps://doi.org/10.1177/11769351251333847openalex-snapshot

Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma

inferred← citeshttps://doi.org/10.1186/s12859-024-05755-0openalex-snapshot

Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways

inferred← citeshttps://doi.org/10.1186/s12916-022-02719-0openalex-snapshot

Recommendations for robust and reproducible preclinical research in personalised medicine

inferred← citeshttps://doi.org/10.1186/s12967-026-08458-7openalex-snapshot

Proteomic and machine learning analysis predicts treatment response signatures in Myasthenia Gravis

inferred← citeshttps://doi.org/10.1186/s13040-024-00380-2openalex-snapshot

Seven quick tips for gene-focused computational pangenomic analysis

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011224openalex-snapshot

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses

inferred← citeshttps://doi.org/10.21203/rs.3.rs-5361454/v1openalex-snapshot

Serum-based studies show novel biomarkers for circulating HPV-DNA in high-risk HPV women as a biomarker for early detection of cervical cancer.

inferred← citeshttps://doi.org/10.2196/56747openalex-snapshot

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

inferred← citeshttps://doi.org/10.3389/fimmu.2024.1343900openalex-snapshot

Towards early diagnosis of Alzheimer’s disease: advances in immune-related blood biomarkers and computational approaches

inferred← citeshttps://doi.org/10.3389/fonc.2025.1690077openalex-snapshot

Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches

inferred← citeshttps://doi.org/10.3389/fonc.2026.1838366openalex-snapshot

Integrating miRNA profiling and machine learning for improved thyroid cancer diagnosis

inferred← citeshttps://doi.org/10.3389/fphar.2024.1437167openalex-snapshot

Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities

inferred← citeshttps://doi.org/10.3390/app15158286openalex-snapshot

Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach

inferred← citeshttps://doi.org/10.3390/biomedicines14102188openalex-snapshot

Exploratory Integration of Metabolomics and Machine Learning Identifies Candidate Signatures of Spontaneous Preterm Birth

inferred← citeshttps://doi.org/10.3390/biotech14030058openalex-snapshot

Pathway Analysis Interpretation in the Multi-Omic Era

inferred← citeshttps://doi.org/10.3390/diagnostics13162648openalex-snapshot

Recent Advances of Proteomics in Management of Acute Kidney Injury

inferred← citeshttps://doi.org/10.3390/diagnostics13243673openalex-snapshot

Advancing Colorectal Cancer Diagnosis with AI-Powered Breathomics: Navigating Challenges and Future Directions

inferred← citeshttps://doi.org/10.3390/jcm15124719openalex-snapshot

Explainable Lightweight AI for the Identification of Right-Sided Cardiac Dysfunction in a Saudi Arabian Diabetic Cohort

inferred← citeshttps://doi.org/10.3390/mi16080900openalex-snapshot

Multidomain Molecular Sensor Devices, Systems, and Algorithms for Improved Physiological Monitoring

inferred← citeshttps://doi.org/10.4103/wkrj.wkrj_32_26openalex-snapshot

Cross-Cohort Validation and Transfer Learning of Mesenchymal Stem/Stromal Cell-derived Extracellular Vesicle Transcriptomic Signatures Using ArrayExpress and Gene Expression Omnibus Datasets

inferred← citeshttps://doi.org/10.6084/m9.figshare.25596425openalex-snapshot

Additional file 1 of Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways

inferred← citeshttps://doi.org/10.64898/2026.06.29.26356838openalex-snapshot

Predicting Mechanical Ventilation Requirement in Guillain–Barré Syndrome using a Multi-Functional Machine Learning Algorithm

inferred← citeshttps://doi.org/10.7759/cureus.54467openalex-snapshot

Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.