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Pattern recognition in bioinformatics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/wics.1223openalex-snapshot
Computational biology perspective: kernel methods and deep learning
inferredcites →https://doi.org/10.1002/widm.14openalex-snapshot
The use of classification trees for bioinformatics
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Bayesian Model Selection and Model Averaging
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
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Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles
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Structured Output Prediction of Anti-cancer Drug Activity
inferredcites →https://doi.org/10.1007/978-3-642-18472-7_29openalex-snapshot
Structured Output Prediction of Novel Enzyme Function with Reaction Kernels
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Data Mining: Practical Machine Learning Tools and Techniques
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Review: A gentle introduction to imputation of missing values
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The nature of systems biology
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Solving the multiple instance problem with axis-parallel rectangles
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Prediction of cancer outcome with microarrays: a multiple random validation strategy
inferredcites →https://doi.org/10.1016/s0167-8655(99)00085-9openalex-snapshot
Relational discriminant analysis
inferredcites →https://doi.org/10.1017/cbo9780511809682openalex-snapshot
Kernel Methods for Pattern Analysis
inferredcites →https://doi.org/10.1021/ci025620topenalex-snapshot
Active Learning with Support Vector Machines in the Drug Discovery Process
inferredcites →https://doi.org/10.1021/ci049810aopenalex-snapshot
Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification
inferredcites →https://doi.org/10.1023/b:aire.0000045502.10941.a9openalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1038/35076576openalex-snapshot
Computational analysis of microarray data
inferredcites →https://doi.org/10.1038/415530aopenalex-snapshot
Gene expression profiling predicts clinical outcome of breast cancer
inferredcites →https://doi.org/10.1038/89044openalex-snapshot
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
inferredcites →https://doi.org/10.1038/nature02236openalex-snapshot
Functional genomic hypothesis generation and experimentation by a robot scientist
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An integrated encyclopedia of DNA elements in the human genome
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Predicting phenotypic variation in yeast from individual genome sequences
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Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
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Splitting vessels: Keeping lymph apart from blood
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Visualization of omics data for systems biology
inferredcites →https://doi.org/10.1038/nmeth1156openalex-snapshot
Next-generation sequencing transforms today's biology
inferredcites →https://doi.org/10.1038/nrd961openalex-snapshot
The use and analysis of microarray data
inferredcites →https://doi.org/10.1038/nrg2633openalex-snapshot
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inferredcites →https://doi.org/10.1038/nrg3253openalex-snapshot
Computational tools for prioritizing candidate genes: boosting disease gene discovery
inferredcites →https://doi.org/10.1055/s-0038-1634431openalex-snapshot
What is Bioinformatics? A Proposed Definition and Overview of the Field
inferredcites →https://doi.org/10.1073/pnas.0406614101openalex-snapshot
Combining biological networks to predict genetic interactions
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.082099299openalex-snapshot
Diagnosis of multiple cancer types by shrunken centroids of gene expression
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/10.1073/pnas.95.25.14863openalex-snapshot
Cluster analysis and display of genome-wide expression patterns
inferredcites →https://doi.org/10.1089/cmb.2006.13.394openalex-snapshot
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
inferredcites →https://doi.org/10.1093/bib/1.4.331openalex-snapshot
Discriminant analysis and its application in DNA sequence motif recognition
inferredcites →https://doi.org/10.1093/bib/bbp012openalex-snapshot
An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies
inferredcites →https://doi.org/10.1093/bib/bbq090openalex-snapshot
Principal component analysis based methods in bioinformatics studies
inferredcites →https://doi.org/10.1093/bib/bbr001openalex-snapshot
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
inferredcites →https://doi.org/10.1093/bioinformatics/16.5.412openalex-snapshot
Assessing the accuracy of prediction algorithms for classification: an overview
inferredcites →https://doi.org/10.1093/bioinformatics/btg419openalex-snapshot
Is cross-validation valid for small-sample microarray classification?
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/bti429openalex-snapshot
A protocol for building and evaluating predictors of disease state based on 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/bti681openalex-snapshot
Classification of microarrays to nearest centroids
inferredcites →https://doi.org/10.1093/bioinformatics/btl256openalex-snapshot
Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo
inferredcites →https://doi.org/10.1093/bioinformatics/btl364openalex-snapshot
Inferring gene regulatory networks from time series data using the minimum description length principle
inferredcites →https://doi.org/10.1093/bioinformatics/btl400openalex-snapshot
Reliable gene signatures for microarray classification: assessment of stability and performance
inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
inferredcites →https://doi.org/10.1093/bioinformatics/btn279openalex-snapshot
Clinically driven semi-supervised class discovery in gene expression data
inferredcites →https://doi.org/10.1093/bioinformatics/btq302openalex-snapshot
Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein–protein interaction sites
inferredcites →https://doi.org/10.1093/bioinformatics/btq323openalex-snapshot
Over-optimism in bioinformatics: an illustration
inferredcites →https://doi.org/10.1093/bioinformatics/btr502openalex-snapshot
Semi-supervised learning improves gene expression-based prediction of cancer recurrence
inferredcites →https://doi.org/10.1093/bioinformatics/btr591openalex-snapshot
Optimized application of penalized regression methods to diverse genomic data
inferredcites →https://doi.org/10.1093/bioinformatics/bts416openalex-snapshot
Multiple instance learning of Calmodulin binding sites
inferredcites →https://doi.org/10.1093/bioinformatics/bts504openalex-snapshot
Positive-unlabeled learning for disease gene identification
inferredcites →https://doi.org/10.1093/nar/gkq973openalex-snapshot
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
inferredcites →https://doi.org/10.1109/34.824819openalex-snapshot
Statistical pattern recognition: a review
inferredcites →https://doi.org/10.1109/tcbb.2008.137openalex-snapshot
Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction
inferredcites →https://doi.org/10.1109/tit.1968.1054102openalex-snapshot
On the mean accuracy of statistical pattern recognizers
inferredcites →https://doi.org/10.1111/1467-9868.00293openalex-snapshot
Estimating the Number of Clusters in a Data Set Via the Gap Statistic
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1126/science.286.5439.531openalex-snapshot
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
inferredcites →https://doi.org/10.1142/5965openalex-snapshot
The Dissimilarity Representation for Pattern Recognition
inferredcites →https://doi.org/10.1145/1102351.1102439openalex-snapshot
Supervised versus multiple instance learning
inferredcites →https://doi.org/10.1145/1102351.1102456openalex-snapshot
Active learning for sampling in time-series experiments with application to gene expression analysis
inferredcites →https://doi.org/10.1186/1471-2105-11-228openalex-snapshot
Learning gene regulatory networks from only positive and unlabeled data
inferredcites →https://doi.org/10.1186/1471-2105-11-s1-s57openalex-snapshot
Active learning for human protein-protein interaction prediction
inferredcites →https://doi.org/10.1186/1471-2105-11-s1-s58openalex-snapshot
Active machine learning for transmembrane helix prediction
inferredcites →https://doi.org/10.1186/1471-2105-12-389openalex-snapshot
ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
inferredcites →https://doi.org/10.1186/1471-2105-12-491openalex-snapshot
MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects
inferredcites →https://doi.org/10.1186/1471-2105-13-s15-s3openalex-snapshot
Implementation of multiple-instance learning in drug activity prediction
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/10.1186/1471-2105-8-s10-s3openalex-snapshot
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
inferredcites →https://doi.org/10.1186/1471-2105-8-s2-s4openalex-snapshot
Inferring biological networks with output kernel trees
inferredcites →https://doi.org/10.1186/1471-2105-9-179openalex-snapshot
Multidimensional scaling for large genomic data sets
inferredcites →https://doi.org/10.1186/gb-2009-10-2-206openalex-snapshot
Sequence-based feature prediction and annotation of proteins
inferredcites →https://doi.org/10.1198/016214502753479248openalex-snapshot
Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
inferredcites →https://doi.org/10.1201/9781420035636-10openalex-snapshot
Statistical Pattern Recognition
inferredcites →https://doi.org/10.1201/b10331openalex-snapshot
Clustering in Bioinformatics and Drug Discovery
inferredcites →https://doi.org/10.1371/journal.pbio.0020108openalex-snapshot
Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data
inferredcites →https://doi.org/10.1371/journal.pcbi.1000044openalex-snapshot
A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli
inferredcites →https://doi.org/10.1371/journal.pcbi.1000173openalex-snapshot
Support Vector Machines and Kernels for Computational Biology
inferredcites →https://doi.org/10.1371/journal.pcbi.1002240openalex-snapshot
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome
inferredcites →https://doi.org/10.1371/journal.pone.0045869openalex-snapshot
Exploring Sequence Characteristics Related to High-Level Production of Secreted Proteins in Aspergillus niger
inferredcites →https://doi.org/10.5860/choice.33-1577openalex-snapshot
Artificial intelligence: a modern approach
inferredcites →https://doi.org/10.7551/mitpress/10290.001.0001openalex-snapshot
Foundations of Machine Learning
inferredcites →https://doi.org/10.7551/mitpress/7432.003.0006openalex-snapshot
An Introduction to Conditional Random Fields for Relational Learning
inferredcites →https://doi.org/10.7551/mitpress/7443.001.0001openalex-snapshot
Predicting Structured Data
inferredcites →https://doi.org/10.7551/mitpress/9780262033589.001.0001openalex-snapshot
Semi-Supervised Learning
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles
inferred← citeshttps://doi.org/10.1186/s12859-015-0541-0openalex-snapshot
Interpolation based consensus clustering for gene expression time series
inferred← citeshttps://doi.org/10.1242/jcs.123604openalex-snapshot
Machine learning in cell biology – teaching computers to recognize phenotypes
inferred← citeshttps://doi.org/10.12732/ijpam.v117i2.8openalex-snapshot
RESEARCH WORK OF BACKPROPAGATION AND LEVENBERG-MARKARDT ALGORITHMS FOR RECOGNITION ON BIOMETRICS DATA
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011582openalex-snapshot
Recognition and reconstruction of cell differentiation patterns with deep learning
inferred← citeshttps://doi.org/10.1371/journal.pone.0221202openalex-snapshot
Prediction model development of late-onset preeclampsia using machine learning-based methods
inferred← citeshttps://doi.org/10.2196/45815openalex-snapshot
Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study
inferred← citeshttps://doi.org/10.2217/epi-2019-0230openalex-snapshot
BioDog, Biomarker Detection for Improving Identification Power of Breast Cancer Histologic Grade in Methylomics
inferred← citeshttps://doi.org/10.33564/ijeast.2019.v04i01.014openalex-snapshot
BASED ON PROTEIN EXPRESSION USING MACHINE LEARNING ALGORITHMS
inferred← citeshttps://doi.org/10.3389/fneur.2023.1178087openalex-snapshot
Recombination of the right cerebral cortex in patients with left side USN after stroke: fNIRS evidence from resting state
inferred← citeshttps://doi.org/10.3390/app12063030openalex-snapshot
A Rapid and Affordable Screening Tool for Early-Stage Ovarian Cancer Detection Based on MALDI-ToF MS of Blood Serum
inferred← citeshttps://doi.org/10.3390/bioengineering9100561openalex-snapshot
The Role of Machine Learning and Design of Experiments in the Advancement of Biomaterial and Tissue Engineering Research
inferred← citeshttps://doi.org/10.3390/biomedinformatics3040064openalex-snapshot
Facilitating “Omics” for Phenotype Classification Using a User-Friendly AI-Driven Platform: Application in Cancer Prognostics
inferred← citeshttps://doi.org/10.3390/biotech11030035openalex-snapshot
Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups
inferred← citeshttps://doi.org/10.3390/ijms22052659openalex-snapshot
Advancing Drug Discovery for Neurological Disorders Using iPSC-Derived Neural Organoids
inferred← citeshttps://doi.org/10.3390/ijms25105440openalex-snapshot
SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/jpm13091393openalex-snapshot
Comparing Machine Learning Classifiers for Predicting Hospital Readmission of Heart Failure Patients in Rwanda
inferred← citeshttps://doi.org/10.3390/math12131930openalex-snapshot
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data
inferred← citeshttps://doi.org/10.3390/msf2023022006openalex-snapshot
Predicting Cancer Prognostics from Tumour Transcriptomics Using an Auto Machine Learning Approach
inferred← citeshttps://doi.org/10.3390/sym18091489openalex-snapshot
Optimizing K-Means Clustering for Big Data: A Review
inferred← citeshttps://doi.org/10.3390/vaccines11010038openalex-snapshot
Integrative Bioinformatics Approaches Indicate a Particular Pattern of Some SARS-CoV-2 and Non-SARS-CoV-2 Proteins
inferred← citeshttps://doi.org/10.37676/jmi.v18i2.2879openalex-snapshot
Support Vector Machine Method for Recognizing Patterns in Signatures
inferred← citeshttps://doi.org/10.4018/978-1-5225-2255-3.ch039openalex-snapshot
Building Gene Networks by Analyzing Gene Expression Profiles
inferred← citeshttps://doi.org/10.4018/978-1-5225-7489-7.ch003openalex-snapshot
Building Gene Networks by Analyzing Gene Expression Profiles
inferred← citeshttps://doi.org/10.4018/979-8-3693-3026-5.ch063openalex-snapshot
Role of Data Mining Techniques in Bioinformatics
inferred← citeshttps://doi.org/10.5220/0011657000003411openalex-snapshot
Two-Step Graph Classification on the Basis of Hierarchical Graphs
inferred← citeshttps://doi.org/10.61186/shefa.11.4.94openalex-snapshot
Application of Artificial Intelligence in Regenerative Medicine
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