Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification

Ying Liu

doi:10.1021/ci049810a

Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci049810a ◽

2004 ◽

Vol 44 (6) ◽

pp. 1936-1941 ◽

Cited By ~ 97

Author(s):

Ying Liu

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Active Learning ◽

Gene Expression Data ◽

Cancer Classification ◽

Support Vector ◽

Expression Data

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Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification.

ChemInform ◽

10.1002/chin.200506220 ◽

2005 ◽

Vol 36 (6) ◽

Author(s):

Ying Liu

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Active Learning ◽

Gene Expression Data ◽

Cancer Classification ◽

Support Vector ◽

Expression Data

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Cancer classification through filtering progressive transductive support vector machine based on gene expression data

10.1063/1.4992918 ◽

2017 ◽

Cited By ~ 2

Author(s):

Xinguo Lu ◽

Dan Chen

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Gene Expression Data ◽

Cancer Classification ◽

Support Vector ◽

Expression Data ◽

Transductive Support Vector Machine

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A Support Vector Machine Ensemble for Cancer Classification Using Gene Expression Data

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72031-7_44 ◽

2007 ◽

pp. 488-495 ◽

Cited By ~ 1

Author(s):

Chen Liao ◽

Shutao Li

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Gene Expression Data ◽

Cancer Classification ◽

Support Vector ◽

Expression Data

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Random-Forest (RF) and Support Vector Machine (SVM) Implementation for Analysis of Gene Expression Data in Chronic Kidney Disease (CKD)

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/546/5/052066 ◽

2019 ◽

Vol 546 ◽

pp. 052066 ◽

Cited By ~ 1

Author(s):

Zuherman Rustam ◽

Ely Sudarsono ◽

Devvi Sarwinda

Keyword(s):

Gene Expression ◽

Chronic Kidney Disease ◽

Support Vector Machine ◽

Random Forest ◽

Kidney Disease ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data

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Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data

Lecture Notes in Computer Science - Applications of Evolutionary Computing ◽

10.1007/978-3-540-32003-6_8 ◽

2005 ◽

pp. 74-83 ◽

Cited By ~ 5

Author(s):

Elena Marchiori ◽

Michèle Sebag

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Bayesian Learning ◽

Cancer Classification ◽

Support Vector ◽

Expression Data ◽

Vector Machines ◽

Local Support

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Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data

Theoretical and Applied Genetics ◽

10.1007/s00122-011-1747-9 ◽

2011 ◽

Vol 124 (5) ◽

pp. 825-833 ◽

Cited By ~ 19

Author(s):

Junjie Fu ◽

K. Christin Falke ◽

Alexander Thiemann ◽

Tobias A. Schrag ◽

Albrecht E. Melchinger ◽

...

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Least Squares ◽

Gene Expression Data ◽

Partial Least Squares Regression ◽

Support Vector ◽

Hybrid Performance ◽

Expression Data ◽

Least Squares Regression ◽

Maize Hybrid

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Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates

Bioinformatics ◽

10.1093/bioinformatics/btw498 ◽

2016 ◽

pp. btw498 ◽

Cited By ~ 5

Author(s):

S. Cogill ◽

L. Wang

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Gene Expression Data ◽

Support Vector Machine Model ◽

Support Vector ◽

Expression Data ◽

Machine Model ◽

Brain Gene Expression ◽

Risk Gene

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Gene Expression Data Classification Using Support Vector Machine and Mutual Information-based Gene Selection

Procedia Computer Science ◽

10.1016/j.procs.2015.03.178 ◽

2015 ◽

Vol 47 ◽

pp. 13-21 ◽

Cited By ~ 77

Author(s):

C. Devi Arockia Vanitha ◽

D. Devaraj ◽

M. Venkatesulu

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Selection ◽

Data Classification ◽

Support Vector ◽

Expression Data

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Chi Square and Support Vector Machine with Recursive Feature Elimination for Gene Expression Data Classification

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) ◽

10.1109/icoice48418.2019.9035165 ◽

2019 ◽

Author(s):

Talal Almutiri ◽

Faisal Saeed

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Gene Expression Data ◽

Data Classification ◽

Recursive Feature Elimination ◽

Support Vector ◽

Expression Data ◽

Chi Square

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sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic

Frontiers in Genetics ◽

10.3389/fgene.2020.00247 ◽

2020 ◽

Vol 11 ◽

Cited By ~ 2

Author(s):

Pijush Das ◽

Anirban Roychowdhury ◽

Subhadeep Das ◽

Susanta Roychoudhury ◽

Sucheta Tripathy

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Feature Selection ◽

Gene Expression Data ◽

Feature Selection Method ◽

Selection Method ◽

Significant Feature ◽

Support Vector ◽

Expression Data

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