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Minimum redundancy feature selection from microarray gene expression data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Multiclass Support Vector Machines
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How Many Genes are Needed for a Discriminant Microarray Data Analysis
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The Nature of Statistical Learning Theory
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Multiclass Support Vector Machines
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Wrappers for feature subset selection
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Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
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A Tutorial on Support Vector Machines for Pattern Recognition
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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
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Systematic variation in gene expression patterns in human cancer cell lines
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A gene expression database for the molecular pharmacology of cancer
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Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer
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Tissue Classification with Gene Expression Profiles
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Support vector machine classification and validation of cancer tissue samples using microarray expression data
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Multi-class protein fold recognition using support vector machines and neural networks
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Feature selection for DNA methylation based cancer classification
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Tumor classification by partial least squares using microarray gene expression data
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Multi-class cancer classification via partial least squares with gene expression profiles
inferredcites →https://doi.org/10.1093/bioinformatics/19.1.37openalex-snapshot
Genetic algorithms applied to multi-class prediction for the analysis of gene expression data
inferredcites →https://doi.org/10.1093/bioinformatics/19.1.71openalex-snapshot
Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients
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Classification of multiple cancer types by multicategory support vector machines using gene expression data
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Analysis of gene expression profiles
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Selection of Relevant Features in Machine Learning.
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Feature selection using dynamic weights for classification
inferred← citeshttps://doi.org/10.1016/j.knosys.2014.03.022openalex-snapshot
Feature selection using data envelopment analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.07.004openalex-snapshot
Feature selection with redundancy-complementariness dispersion
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.02.021openalex-snapshot
Extended adaptive Lasso for multi-class and multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106965openalex-snapshot
Multi-modal advanced deep learning architectures for breast cancer survival prediction
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116189openalex-snapshot
High-speed rail passenger flow prediction based on crossformer and quantile regression: A deep learning approach assisted by internet search indices
inferred← citeshttps://doi.org/10.1016/j.mechmachtheory.2016.05.022openalex-snapshot
Intelligent diagnosis of bearing knock faults in internal combustion engines using vibration simulation
inferred← citeshttps://doi.org/10.1016/j.medengphy.2012.07.012openalex-snapshot
Predicting atrial fibrillation inducibility in a canine model by multi-threshold spectra of the recurrence complex network
inferred← citeshttps://doi.org/10.1016/j.neucom.2007.11.045openalex-snapshot
A modular classification model for received signal strength based location systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2008.12.035openalex-snapshot
Information-theoretic feature selection for functional data classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2010.01.018openalex-snapshot
Co-training with relevant random subspaces
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.06.036openalex-snapshot
Divergence-based feature selection for separate classes
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.08.041openalex-snapshot
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.10.036openalex-snapshot
Incremental filter and wrapper approaches for feature discretization
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.03.081openalex-snapshot
Feature selection for classification with class-separability strategy and data envelopment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.08.038openalex-snapshot
Unsupervised feature selection through Gram–Schmidt orthogonalization—A word co-occurrence perspective
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.03.090openalex-snapshot
Recognizing spontaneous micro-expression from eye region
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.09.055openalex-snapshot
A discriminative multi-class feature selection method via weighted l2,1-norm and Extended Elastic Net
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.12.055openalex-snapshot
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.06.084openalex-snapshot
Multi-task deep convolutional neural network for cancer diagnosis
inferred← citeshttps://doi.org/10.1016/j.patcog.2013.04.021openalex-snapshot
Mutual information-based method for selecting informative feature sets
inferred← citeshttps://doi.org/10.1016/j.patcog.2014.01.008openalex-snapshot
A framework for cost-based feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.09.007openalex-snapshot
Eye tracking data guided feature selection for image classification
inferred← citeshttps://doi.org/10.1016/j.patrec.2012.05.019openalex-snapshot
Efficient feature selection filters for high-dimensional data
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.04.002openalex-snapshot
Feature Interaction Maximisation
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.10.016openalex-snapshot
l2,1-norm minimization based negative label relaxation linear regression for feature selection
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.07.039openalex-snapshot
A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.04.031openalex-snapshot
Reading grid for feature selection relevance criteria in regression
inferred← citeshttps://doi.org/10.1016/j.patter.2022.100471openalex-snapshot
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool
inferred← citeshttps://doi.org/10.1016/j.saa.2021.119850openalex-snapshot
Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task
inferred← citeshttps://doi.org/10.1016/j.sbspro.2015.01.1150openalex-snapshot
Least Square Support Vector Machine and Minumum Redundacy Maximum Relavance for Diagnosis of Breast Cancer from Breast Microscopic Images
inferred← citeshttps://doi.org/10.1021/acssensors.3c01085openalex-snapshot
Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor Progression In Vivo : A Preclinical Study
inferred← citeshttps://doi.org/10.1029/2022ea002642openalex-snapshot
Estimation of Soil Surface Roughness Parameters Under Simulated Rainfall Using Spectral Reflectance in Optical Domain
inferred← citeshttps://doi.org/10.1038/s41398-024-03217-yopenalex-snapshot
Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples
inferred← citeshttps://doi.org/10.1038/s41467-023-43909-5openalex-snapshot
DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis
inferred← citeshttps://doi.org/10.1038/s41591-024-03279-xopenalex-snapshot
Lipid profiling identifies modifiable signatures of cardiometabolic risk in children and adolescents with obesity
inferred← citeshttps://doi.org/10.1038/s41598-020-80749-5openalex-snapshot
Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions
inferred← citeshttps://doi.org/10.1038/s41598-022-09421-4openalex-snapshot
Machine learning and expression analyses reveal circadian clock features predictive of anxiety
inferred← citeshttps://doi.org/10.1038/s41598-023-43768-6openalex-snapshot
The importance of planning CT-based imaging features for machine learning-based prediction of pain response
inferred← citeshttps://doi.org/10.1038/s41598-023-45477-6openalex-snapshot
Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability
inferred← citeshttps://doi.org/10.1038/s41598-023-50908-5openalex-snapshot
Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow
inferred← citeshttps://doi.org/10.1038/s41598-025-90612-0openalex-snapshot
Assessment of environmental and socioeconomic drivers of urban stormwater microplastics using machine learning
inferred← citeshttps://doi.org/10.1038/s42003-025-07794-6openalex-snapshot
A continuous approach to explain insomnia and subjective-objective sleep discrepancy
inferred← citeshttps://doi.org/10.1049/csy2.12093openalex-snapshot
BIO‐inspired fuzzy inference system—For physiological signal analysis
inferred← citeshttps://doi.org/10.1063/1.2817337openalex-snapshot
A web server for mining Comparative Genomic Hybridization (CGH) data
inferred← citeshttps://doi.org/10.1080/00036846.2024.2394697openalex-snapshot
Consistency of the central bank of the Republic of Türkiye’s policy stance with its discourses: a fuzzy logic analysis
inferred← citeshttps://doi.org/10.1080/02664763.2021.1975662openalex-snapshot
A generalized l 2,p -norm regression based feature selection algorithm
inferred← citeshttps://doi.org/10.1080/03610918.2024.2331083openalex-snapshot
From bibliometrics to text mining: exploring feature selection methods in microarray research
inferred← citeshttps://doi.org/10.1080/17480930.2024.2360743openalex-snapshot
Advanced mineralogical classification and concentration estimation in mining with MATLAB-powered hyper-spectral imaging and machine learning
inferred← citeshttps://doi.org/10.1080/18756891.2011.9727817openalex-snapshot
Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection
inferred← citeshttps://doi.org/10.1080/21678421.2025.2522399openalex-snapshot
Feature selection using metaheuristics to predict annual amyotrophic lateral sclerosis progression
inferred← citeshttps://doi.org/10.1088/1741-2552/ac9e75openalex-snapshot
Improving pre-movement pattern detection with filter bank selection
inferred← citeshttps://doi.org/10.1088/1741-2552/adf579openalex-snapshot
ML-STIM: Machine Learning for SubThalamic nucleus Intraoperative Mapping
inferred← citeshttps://doi.org/10.1093/bib/bbaa189openalex-snapshot
FS–GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT
inferred← citeshttps://doi.org/10.1093/bioinformatics/btae605openalex-snapshot
Biologically weighted LASSO: enhancing functional interpretability in gene expression data analysis
inferred← citeshttps://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
inferred← citeshttps://doi.org/10.1093/gigascience/giaf096openalex-snapshot
Exploring the role of normalization and feature selection in microbiome disease classification pipelines
inferred← citeshttps://doi.org/10.1093/procel/pwac056openalex-snapshot
Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study
inferred← citeshttps://doi.org/10.1101/007526openalex-snapshot
Classification of RNA-Seq Data via Bagging Support Vector Machines
inferred← citeshttps://doi.org/10.1101/2025.03.11.642648openalex-snapshot
EpImAge: An Epigenetic-Immune Clock for Disease-Associated Biological Aging
inferred← citeshttps://doi.org/10.1101/2025.05.26.656134openalex-snapshot
EEG Signature of Idiopathic Hypersomnia: Insights from Sleep Microarchitecture and Hypnodensity Metrics
inferred← citeshttps://doi.org/10.1101/399436openalex-snapshot
Integrated modeling of peptide digestion and detection for the prediction of proteotypic peptides in targeted proteomics
inferred← citeshttps://doi.org/10.1108/jm2-08-2025-0386openalex-snapshot
Feature reduction approach for classification of datasets based on genetic algorithm
inferred← citeshttps://doi.org/10.1109/access.2018.2871027openalex-snapshot
Vertical and Horizontal DNA Differential Methylation Analysis for Predicting Breast Cancer
inferred← citeshttps://doi.org/10.1109/access.2019.2893320openalex-snapshot
A Novel Feature Selection in Vehicle Detection Through the Selection of Dominant Patterns of Histograms of Oriented Gradients (DPHOG)
inferred← citeshttps://doi.org/10.1109/access.2019.2923626openalex-snapshot
Clusters of Features Using Complementary Information Applied to Gender Classification From Face Images
inferred← citeshttps://doi.org/10.1109/access.2021.3126429openalex-snapshot
RENT—Repeated Elastic Net Technique for Feature Selection
inferred← citeshttps://doi.org/10.1109/access.2022.3166146openalex-snapshot
Electricity Theft Detection in Smart Grids Based on Deep Neural Network
inferred← citeshttps://doi.org/10.1109/access.2023.3309671openalex-snapshot
Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records
inferred← citeshttps://doi.org/10.1109/access.2024.3420080openalex-snapshot
A Novel Feature Encoding Scheme for Machine Learning Based Malware Detection Systems
inferred← citeshttps://doi.org/10.1109/access.2026.3657312openalex-snapshot
Parametric Analysis of the Wavelet Scattering Transform for Water Leakage Classification and Comparison With Manual Feature Extraction Techniques
inferred← citeshttps://doi.org/10.1109/aciiasia.2018.8470329openalex-snapshot
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study
inferred← citeshttps://doi.org/10.1109/acit62333.2024.10712519openalex-snapshot
Application of Mutual Information Estimation Methods for Feature Selection in Regression Problems of Aviation Traffic Forecasting
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