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Improving the performance of SVM-RFE to select genes in microarray data

BMC bioinformatics, 2006-09, Vol.7 Suppl 2 (S2), p.S12-S12, Article S12

2006

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Drug activity prediction using multiple-instance learning via joint instance and feature selection

BMC bioinformatics, 2013-10, Vol.14 Suppl 14 (S14), p.S16-S16, Article S16

2013

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Implementation of multiple-instance learning in drug activity prediction

BMC bioinformatics, 2012, Vol.13 Suppl 15 (Suppl 15), p.S3-S3, Article S3

2012

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lncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis

Genes, 2018-01, Vol.9 (2), p.65

2018

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Single nucleotide variations: Biological impact and theoretical interpretation

Protein science, 2014-12, Vol.23 (12), p.1650-1666

2014

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Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling

Cancer cell, 2002-03, Vol.1 (2), p.133-143

2002

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An AT-Hook Domain in MeCP2 Determines the Clinical Course of Rett Syndrome and Related Disorders

Cell, 2013-02, Vol.152 (5), p.984-996

2013

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Graph ranking for exploratory gene data analysis

BMC bioinformatics, 2009-10, Vol.10 Suppl 11 (S11), p.S19-S19, Article S19

2009

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Predicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds

BMC genomics, 2016-03, Vol.17 (203), p.205-205, Article 205

2016

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Estimating Feature-Label Dependence Using Gini Distance Statistics

IEEE transactions on pattern analysis and machine intelligence, 2021-06, Vol.43 (6), p.1947-1963

2021

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Quantitative Structure-Activity Relationship Analysis and a Combined Ligand-Based/Structure-Based Virtual Screening Study for Glycogen Synthase Kinase-3

Molecular informatics, 2014-09, Vol.33 (9), p.627-640

2014

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Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study

2016 IEEE International Conference on Industrial Technology (ICIT), 2016, p.1944-1949

2016

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Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

BMC bioinformatics, 2008-08, Vol.9 Suppl 9 (S9), p.S1-S1, Article S1

2008

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Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society

BMC bioinformatics, 2007-11, Vol.8 Suppl 7 (S7), p.S1-S1, Article S1

2007

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An unsupervised learning approach to find ovarian cancer genes through integration of biological data

BMC genomics, 2015-08, Vol.16 Suppl 9 (S9), p.S3-S3, Article S3

2015

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Th1, Th2 and Th17 inflammatory pathways synergistically predict cardiometabolic protein expression in serum of COVID-19 patients

Molecular omics, 2022-06, Vol.18 (5), p.48-416

2022

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Learning accurate and interpretable models based on regularized random forests regression

BMC systems biology, 2014-10, Vol.8 Suppl 3 (S3), p.S5-S5, Article S5

2014

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Regional societies: fostering competitive research through virtual infrastructures

PLoS biology, 2004-12, Vol.2 (12), p.e372-e372

2004

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Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data

Neurocomputing (Amsterdam), 2012-09, Vol.92, p.36-43

2012

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Robust clustering in high dimensional data using statistical depths

BMC bioinformatics, 2007-11, Vol.8 Suppl 7 (S7), p.S8-S8, Article S8

2007

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A Probabilistic Approach to Multiple-Instance Learning

Bioinformatics Research and Applications, 2017, Vol.10330, p.331-336

2017

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Large margin classifiers and Random Forests for integrated biological prediction

International journal of bioinformatics research and applications, 2012, Vol.8 (1-2), p.38

2012

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Leveraging domain information to restructure biological prediction

BMC bioinformatics, 2011-10, Vol.12 Suppl 10 (S10), p.S22-S22, Article S22

2011

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The effect of normalization on microarray data analysis

DNA and cell biology, 2004-10, Vol.23 (10), p.635-642

2004

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Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

BMC bioinformatics, 2009-10, Vol.10 (S11), p.S1-S1, Article S1

2009

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Improving the performance of SVM-RFE to select genes in microarray data

Drug activity prediction using multiple-instance learning via joint instance and feature selection

Implementation of multiple-instance learning in drug activity prediction

lncRNA Gene Signatures for Prediction of Breast Cancer Intrinsic Subtypes and Prognosis

Single nucleotide variations: Biological impact and theoretical interpretation

Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling

An AT-Hook Domain in MeCP2 Determines the Clinical Course of Rett Syndrome and Related Disorders

Graph ranking for exploratory gene data analysis

Predicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds

Estimating Feature-Label Dependence Using Gini Distance Statistics

Quantitative Structure-Activity Relationship Analysis and a Combined Ligand-Based/Structure-Based Virtual Screening Study for Glycogen Synthase Kinase-3

Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study

Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society

An unsupervised learning approach to find ovarian cancer genes through integration of biological data

Th1, Th2 and Th17 inflammatory pathways synergistically predict cardiometabolic protein expression in serum of COVID-19 patients

Learning accurate and interpretable models based on regularized random forests regression

Regional societies: fostering competitive research through virtual infrastructures

Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data

Robust clustering in high dimensional data using statistical depths

A Probabilistic Approach to Multiple-Instance Learning

Large margin classifiers and Random Forests for integrated biological prediction

Leveraging domain information to restructure biological prediction

The effect of normalization on microarray data analysis

Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

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