Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles

Artificial Intelligence in Medicine ◽

10.1016/s0933-3657(02)00077-5 ◽

2002 ◽

Vol 26 (3) ◽

pp. 281-304 ◽

Author(s):

Giorgio Valentini

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Vector Machines ◽

Human Lymphoma ◽

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Gene expression data analysis using support vector machines

Proceedings of the International Joint Conference on Neural Networks, 2003. ◽

10.1109/ijcnn.2003.1223764 ◽

2004 ◽

Author(s):

Feng Chu ◽

Lipo Wang

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Vector Machines

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Bagged ensembles of Support Vector Machines for gene expression data analysis

Proceedings of the International Joint Conference on Neural Networks, 2003. ◽

10.1109/ijcnn.2003.1223688 ◽

2004 ◽

Author(s):

G. Valentini ◽

M. Muselli ◽

F. Ruffino

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Vector Machines

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Multidimensional support vector machines for visualization of gene expression data

Proceedings of the 2004 ACM symposium on Applied computing - SAC '04 ◽

10.1145/967900.967936 ◽

2004 ◽

Author(s):

Daisuke Komura ◽

Hiroshi Nakamura ◽

Shuichi Tsutsumi ◽

Hiroyuki Aburatani ◽

Sigeo Ihara

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Vector Machines

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Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders

FEBS Open Bio ◽

10.1002/2211-5463.12652 ◽

2019 ◽

Vol 9 (7) ◽

pp. 1232-1248 ◽

Author(s):

Johannes Smolander ◽

Matthias Dehmer ◽

Frank Emmert‐Streib

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Belief Networks ◽

Expression Data ◽

Deep Belief Networks ◽

Complex Disorders ◽

Vector Machines

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A cascading support vector machines system for gene expression data classification

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791) ◽

10.1109/is.2004.1344758 ◽

2004 ◽

Author(s):

D.K. Iakovidis ◽

I.N. Flaounas ◽

S.A. Karkanis ◽

D.E. Maroulis

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Data Classification ◽

Support Vector ◽

Expression Data ◽

Vector Machines

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Classification of multiple cancer types by multicategory support vector machines using gene expression data

Bioinformatics ◽

10.1093/bioinformatics/btg102 ◽

2003 ◽

Vol 19 (9) ◽

pp. 1132-1139 ◽

Author(s):

Y. Lee ◽

C.-K. Lee

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Multiple Cancer ◽

Vector Machines ◽

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Classification of Dengue Fever Patients Based on Gene Expression Data Using Support Vector Machines

PLoS ONE ◽

10.1371/journal.pone.0011267 ◽

2010 ◽

Vol 5 (6) ◽

pp. e11267 ◽

Author(s):

Ana Lisa V. Gomes ◽

Lawrence J. K. Wee ◽

Asif M. Khan ◽

Laura H. V. G. Gil ◽

Ernesto T. A. Marques ◽

...

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Dengue Fever ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Vector Machines

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Class Discovery in Gene Expression Data: Characterizing Splits by Support Vector Machines

Between Data Science and Applied Data Analysis - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-642-18991-3_75 ◽

2003 ◽

pp. 662-669 ◽

Author(s):

Florian Markowetz ◽

Anja von Heydebreck

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Class Discovery ◽

Vector Machines

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Knowledge-based analysis of microarray gene expression data by using support vector machines

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.97.1.262 ◽

2000 ◽

Vol 97 (1) ◽

pp. 262-267 ◽

Cited By ~ 1324

Author(s):

M. P. S. Brown ◽

W. N. Grundy ◽

D. Lin ◽

N. Cristianini ◽

C. W. Sugnet ◽

...

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Support Vector ◽

Expression Data ◽

Microarray Gene Expression ◽

Knowledge Based ◽

Vector Machines ◽

Microarray Gene

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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 ◽

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 ◽

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