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The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1016/s0140-6736(05)17866-0openalex-snapshot
Prediction of cancer outcome with microarrays: a multiple random validation strategy
inferredcites →https://doi.org/10.1016/s0140-6736(05)17878-7openalex-snapshot
Microarrays and molecular research: noise discovery?
inferredcites →https://doi.org/10.1016/s0140-6736(05)17947-1openalex-snapshot
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot
Gene Selection for Cancer Classification using Support Vector Machines
inferredcites →https://doi.org/10.1038/tpj.2010.35openalex-snapshot
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes
inferredcites →https://doi.org/10.1056/nejmoa052933openalex-snapshot
Concordance among Gene-Expression–Based Predictors for Breast Cancer
inferredcites →https://doi.org/10.1056/nejmra0801289openalex-snapshot
Gene-Expression Signatures in Breast Cancer
inferredcites →https://doi.org/10.1073/pnas.0601231103openalex-snapshot
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
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/10.1093/bioinformatics/bth469openalex-snapshot
Outcome signature genes in breast cancer: is there a unique set?
inferredcites →https://doi.org/10.1093/bioinformatics/btm087openalex-snapshot
A new method to measure the semantic similarity of GO terms
inferredcites →https://doi.org/10.1093/bioinformatics/btp630openalex-snapshot
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
inferredcites →https://doi.org/10.1093/biostatistics/4.2.249openalex-snapshot
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
inferredcites →https://doi.org/10.1093/jnci/95.1.14openalex-snapshot
Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic Classification
inferredcites →https://doi.org/10.1093/jnci/djj052openalex-snapshot
Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
inferredcites →https://doi.org/10.1093/nar/gkn764openalex-snapshot
NCBI GEO: archive for high-throughput functional genomic data
inferredcites →https://doi.org/10.1093/nar/gni179openalex-snapshot
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
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/10.1111/j.2517-6161.1995.tb02031.xopenalex-snapshot
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/1756006.1756008openalex-snapshot
Online Learning for Matrix Factorization and Sparse Coding
inferredcites →https://doi.org/10.1158/0008-5472.can-05-4414openalex-snapshot
Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer
inferredcites →https://doi.org/10.1186/1471-2105-11-277openalex-snapshot
Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
inferredcites →https://doi.org/10.1186/1471-2105-7-235openalex-snapshot
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
inferredcites →https://doi.org/10.1186/1755-8794-1-28openalex-snapshot
Pathway analysis reveals functional convergence of gene expression profiles in breast cancer
inferredcites →https://doi.org/10.1186/bcr1168openalex-snapshot
Outcome signature genes in breast cancer: is there a unique set?
inferredcites →https://doi.org/10.1186/bcr1325openalex-snapshot
Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts
inferredcites →https://doi.org/10.1186/bcr2124openalex-snapshot
Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures
inferredcites →https://doi.org/10.1186/bcr2192openalex-snapshot
A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer
inferredcites →https://doi.org/10.1186/gm202openalex-snapshot
Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
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Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images
inferred← citeshttps://doi.org/10.1038/s41598-020-65384-4openalex-snapshot
Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis
inferred← citeshttps://doi.org/10.1038/s41598-020-74215-5openalex-snapshot
Understanding deep learning in land use classification based on Sentinel-2 time series
inferred← citeshttps://doi.org/10.1038/s41598-020-79375-yopenalex-snapshot
Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning
inferred← citeshttps://doi.org/10.1038/s41598-021-95128-xopenalex-snapshot
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
inferred← citeshttps://doi.org/10.1038/s41598-022-27132-8openalex-snapshot
Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data
inferred← citeshttps://doi.org/10.1038/s41598-023-41090-9openalex-snapshot
Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer
inferred← citeshttps://doi.org/10.1038/s41598-025-85348-wopenalex-snapshot
Early detection of autism spectrum disorder: gait deviations and machine learning
inferred← citeshttps://doi.org/10.1038/s41598-026-62792-wopenalex-snapshot
Measuring the optimistic bias of cross-validation in radiomics
inferred← citeshttps://doi.org/10.1038/srep13087openalex-snapshot
Machine Learning methods for Quantitative Radiomic Biomarkers
inferred← citeshttps://doi.org/10.1039/c2mb25165eopenalex-snapshot
Analysis of bypass signaling in EGFR pathway and profiling of bypass genes for predicting response to anticancer EGFR tyrosine kinase inhibitors
inferred← citeshttps://doi.org/10.1039/d3dd00010aopenalex-snapshot
Feature selection in molecular graph neural networks based on quantum chemical approaches
inferred← citeshttps://doi.org/10.1055/a-0838-8135openalex-snapshot
Big Imaging Data: Klinische Bildanalyse mit Radiomics und Deep Learning
inferred← citeshttps://doi.org/10.1055/a-2829-8644openalex-snapshot
Interpretable Clinical–Radiomics Model for Prediction of Blood Stasis and Left Atrial Appendage Thrombus
inferred← citeshttps://doi.org/10.1061/(asce)wr.1943-5452.0001414openalex-snapshot
Screening Tool for Dam Hazard Potential Classification Using Machine Learning and Multiobjective Parameter Tuning
inferred← citeshttps://doi.org/10.1080/00207160.2014.905680openalex-snapshot
An incremental feature selection approach based on scatter matrices for classification of cancer microarray data
inferred← citeshttps://doi.org/10.1080/02564602.2014.906859openalex-snapshot
A Review of Ensemble Learning Based Feature Selection
inferred← citeshttps://doi.org/10.1080/10106049.2025.2596970openalex-snapshot
Remote sensing-based carbon stock estimation with interpretability analysis in boreal forests
inferred← citeshttps://doi.org/10.1080/10298436.2023.2279250openalex-snapshot
Development of asphalt pavement temperature prediction models utilising multiple regression and artificial neural network approaches: a field study in North America
inferred← citeshttps://doi.org/10.1080/13854046.2019.1612947openalex-snapshot
The construction and the initial validation of the Cognitive Bias Scale for the Personality Assessment Inventory
inferred← citeshttps://doi.org/10.1080/21642583.2020.1723142openalex-snapshot
Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection
inferred← citeshttps://doi.org/10.1088/1361-6501/ab816dopenalex-snapshot
Hyperspectral waveband selection algorithm based on weighted maximum relevance minimum redundancy and its stability analysis
inferred← citeshttps://doi.org/10.1088/1741-2552/acbe1fopenalex-snapshot
Functional connectivity based machine learning approach for autism detection in young children using MEG signals
inferred← citeshttps://doi.org/10.1088/1757-899x/1094/1/012107openalex-snapshot
Hybrid ANOVA and LASSO Methods for Feature Selection and Linear Support Vector, Multilayer Perceptron and Random Forest Classifiers Based on Spark Environment for Microarray Data Classification
inferred← citeshttps://doi.org/10.1089/big.2014.0023openalex-snapshot
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example
inferred← citeshttps://doi.org/10.1093/bib/bbaa151openalex-snapshot
Integrative biomarker detection on high-dimensional gene expression data sets: a survey on prior knowledge approaches
inferred← citeshttps://doi.org/10.1093/bib/bbag148openalex-snapshot
Statistical knockoffs improve biomarker discovery from transcriptomic data
inferred← citeshttps://doi.org/10.1093/bib/bbx101openalex-snapshot
A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications
inferred← citeshttps://doi.org/10.1093/bioadv/vbad037openalex-snapshot
Identification of a gene expression signature associated with breast cancer survival and risk that improves clinical genomic platforms
inferred← citeshttps://doi.org/10.1093/bioadv/vbad048openalex-snapshot
nestedcv: an R package for fast implementation of nested cross-validation with embedded feature selection designed for transcriptomics and high-dimensional data
inferred← citeshttps://doi.org/10.1093/bjr/tqae078openalex-snapshot
CT-based radiomics model using stability selection for predicting the World Health Organization/International Society of Urological Pathology grade of clear cell renal cell carcinoma
inferred← citeshttps://doi.org/10.1093/jamia/ocy165openalex-snapshot
Robust clinical marker identification for diabetic kidney disease with ensemble feature selection
inferred← citeshttps://doi.org/10.1098/rsos.160501openalex-snapshot
PPIMpred: a web server for high-throughput screening of small molecules targeting protein–protein interaction
inferred← citeshttps://doi.org/10.1101/141325openalex-snapshot
Stratified time-course gene preselection shows a pre-diagnostic transcriptomic signal for metastasis in blood cells: a proof of concept from the NOWAC study
inferred← citeshttps://doi.org/10.1101/277772openalex-snapshot
Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles
inferred← citeshttps://doi.org/10.1109/access.2019.2936346openalex-snapshot
Mini-Batch Normalized Mutual Information: A Hybrid Feature Selection Method
inferred← citeshttps://doi.org/10.1109/access.2020.2966296openalex-snapshot
Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance
inferred← citeshttps://doi.org/10.1109/access.2020.3018663openalex-snapshot
Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model
inferred← citeshttps://doi.org/10.1109/access.2020.3040155openalex-snapshot
Metabolic Imaging Based Sub-Classification of Lung Cancer
inferred← citeshttps://doi.org/10.1109/access.2021.3124931openalex-snapshot
Empirical Comparisons for Combining Balancing and Feature Selection Strategies for Characterizing Football Players Using FIFA Video Game System
inferred← citeshttps://doi.org/10.1109/access.2022.3205618openalex-snapshot
A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection
inferred← citeshttps://doi.org/10.1109/acit53391.2021.9677329openalex-snapshot
Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity
inferred← citeshttps://doi.org/10.1109/aict52784.2021.9620226openalex-snapshot
Analysis of Feature Selection Techniques for Classification Problems
inferred← citeshttps://doi.org/10.1109/aidas47888.2019.8970974openalex-snapshot
Optimization of Feature Selection and Classification of Oriental Music Instruments Identification
inferred← citeshttps://doi.org/10.1109/aspcon59071.2023.10396133openalex-snapshot
Fusion of Spectral and Connectivity Features to Detect Depressive Disorder using EEG Signals
inferred← citeshttps://doi.org/10.1109/bibe.2012.6399649openalex-snapshot
Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task
inferred← citeshttps://doi.org/10.1109/bibe.2013.6701527openalex-snapshot
A generic framework for the elicitation of stable and reliable gene expression signatures
inferred← citeshttps://doi.org/10.1109/bibe.2013.6701677openalex-snapshot
Stability of feature selection algorithms for classification in high-throughput genomics datasets
inferred← citeshttps://doi.org/10.1109/bibm.2013.6732486openalex-snapshot
Effective and stable feature selection method based on filter for gene signature identification in paired microarray data
inferred← citeshttps://doi.org/10.1109/bsn.2017.7936039openalex-snapshot
The influence of feature selection methods on exercise classification with inertial measurement units
inferred← citeshttps://doi.org/10.1109/cecit53797.2021.00205openalex-snapshot
SSA-CFS:An Effective Feature Selection Method for Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/cibcb58642.2024.10702107openalex-snapshot
A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems
inferred← citeshttps://doi.org/10.1109/dese.2016.70openalex-snapshot
A Robust Feature Selection Algorithm
inferred← citeshttps://doi.org/10.1109/icait61638.2024.10690516openalex-snapshot
Integrating Rule-Based Approach with BERT for Pharmaceutical Events Detection in Indian Financial Markets
inferred← citeshttps://doi.org/10.1109/iccceee.2018.8515872openalex-snapshot
Using stacking ensemble for microarray-based cancer classification
inferred← citeshttps://doi.org/10.1109/iccke.2015.7365826openalex-snapshot
Identification of gene signatures for classifying of breast cancer subtypes using protein interaction database and support vector machines
inferred← citeshttps://doi.org/10.1109/iciteed.2017.8250495openalex-snapshot
Heterogeneous ensemble feature selection based on weighted Borda count
inferred← citeshttps://doi.org/10.1109/icmla.2012.142openalex-snapshot
A Comparative Study on the Stability of Software Metric Selection Techniques
inferred← citeshttps://doi.org/10.1109/icmla.2012.175openalex-snapshot
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach
inferred← citeshttps://doi.org/10.1109/icmla.2012.20openalex-snapshot
Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection
inferred← citeshttps://doi.org/10.1109/icmla.2012.23openalex-snapshot
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data
inferred← citeshttps://doi.org/10.1109/icmla.2012.27openalex-snapshot
Network Transformation of Gene Expression for Feature Extraction
inferred← citeshttps://doi.org/10.1109/icmla.2013.162openalex-snapshot
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection
inferred← citeshttps://doi.org/10.1109/icmla51294.2020.00206openalex-snapshot
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/ictai.2013.63openalex-snapshot
Stability of Filter- and Wrapper-Based Feature Subset Selection
inferred← citeshttps://doi.org/10.1109/ictai.2013.64openalex-snapshot
A Review of Ensemble Classification for DNA Microarrays Data
inferred← citeshttps://doi.org/10.1109/idaacs.2019.8924334openalex-snapshot
A Spark-based Distributed Whale Optimization Algorithm for Feature Selection
inferred← citeshttps://doi.org/10.1109/iicspi48186.2019.9095904openalex-snapshot
Gene Feature Extraction and Cancer Classification via Double Network
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727869openalex-snapshot
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction
inferred← citeshttps://doi.org/10.1109/iri.2012.6302983openalex-snapshot
A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques
inferred← citeshttps://doi.org/10.1109/iri.2012.6303031openalex-snapshot
A review of the stability of feature selection techniques for bioinformatics data
inferred← citeshttps://doi.org/10.1109/iri.2012.6303034openalex-snapshot
An extensive comparison of feature ranking aggregation techniques in bioinformatics
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