Tumor classification by partial least squares using microarray gene expression data

D. V. Nguyen; D. M. Rocke

doi:10.1093/bioinformatics/18.1.39

Tumor classification by partial least squares using microarray gene expression data

Bioinformatics ◽

10.1093/bioinformatics/18.1.39 ◽

2002 ◽

Vol 18 (1) ◽

pp. 39-50 ◽

Cited By ~ 505

Author(s):

D. V. Nguyen ◽

D. M. Rocke

Keyword(s):

Gene Expression ◽

Least Squares ◽

Partial Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models

Computational Biology and Chemistry ◽

10.1016/j.compbiolchem.2004.05.002 ◽

2004 ◽

Vol 28 (3) ◽

pp. 235-243 ◽

Cited By ~ 52

Author(s):

Yongxi Tan ◽

Leming Shi ◽

Weida Tong ◽

G.T. Gene Hwang ◽

Charles Wang

Keyword(s):

Gene Expression ◽

Least Squares ◽

Partial Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Classification Models ◽

Microarray Gene Expression ◽

Microarray Gene

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Partial least squares dimension reduction for microarray gene expression data with a censored response

Mathematical Biosciences ◽

10.1016/j.mbs.2004.10.007 ◽

2005 ◽

Vol 193 (1) ◽

pp. 119-137 ◽

Cited By ~ 11

Author(s):

Danh V. Nguyen

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Censored Response

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Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data

Artificial Intelligence and Soft Computing – ICAISC 2006 - Lecture Notes in Computer Science ◽

10.1007/11785231_100 ◽

2006 ◽

pp. 951-961 ◽

Cited By ~ 4

Author(s):

Srinivas Mukkamala ◽

Qingzhong Liu ◽

Rajeev Veeraghattam ◽

Andrew H. Sung

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Key Genes ◽

Selection And Ranking

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Optimization Based Tumor Classification from Microarray Gene Expression Data

PLoS ONE ◽

10.1371/journal.pone.0014579 ◽

2011 ◽

Vol 6 (2) ◽

pp. e14579 ◽

Cited By ~ 44

Author(s):

Onur Dagliyan ◽

Fadime Uney-Yuksektepe ◽

I. Halil Kavakli ◽

Metin Turkay

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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A weighted Local Least Squares Imputation method for missing value estimation in microarray gene expression data

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2010.033524 ◽

2010 ◽

Vol 4 (3) ◽

pp. 331 ◽

Cited By ~ 11

Author(s):

Wai Ki Ching ◽

min Li ◽

Nam Kiu Tsing ◽

Ching Wan Tai ◽

Tuen Wai Ng ◽

...

Keyword(s):

Gene Expression ◽

Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Imputation Method ◽

Expression Data ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

Microarray Gene

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A dynamic subspace learning method for tumor classification using microarray gene expression data

2011 Seventh International Conference on Natural Computation ◽

10.1109/icnc.2011.6022091 ◽

2011 ◽

Cited By ~ 1

Author(s):

Yaru Su ◽

Rujing Wang ◽

Chuanxi Li ◽

Peng Chen

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Subspace Learning ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Learning Method ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Mapping microarray gene expression data into dissimilarity spaces for tumor classification

Information Sciences ◽

10.1016/j.ins.2014.09.064 ◽

2015 ◽

Vol 294 ◽

pp. 362-375 ◽

Cited By ~ 24

Author(s):

Vicente García ◽

J. Salvador Sánchez

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Tumor Classification ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Missing value estimation for DNA microarray gene expression data: local least squares imputation

Bioinformatics ◽

10.1093/bioinformatics/btk053 ◽

2006 ◽

Vol 22 (11) ◽

pp. 1410-1411 ◽

Cited By ~ 13

Author(s):

H. Kim ◽

G. H. Golub ◽

H. Park

Keyword(s):

Gene Expression ◽

Least Squares ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

Microarray Gene

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A Modified Local Least Squares-Based Missing Value Estimation Method in Microarray Gene Expression Data

2013 2nd International Conference on Advanced Computing, Networking and Security ◽

10.1109/adcons.2013.11 ◽

2013 ◽

Cited By ~ 1

Author(s):

Shilpi Bose ◽

Chandra Das ◽

Tamaghna Gangopadhyay ◽

Samiran Chattopadhyay

Keyword(s):

Gene Expression ◽

Least Squares ◽

Gene Expression Data ◽

Estimation Method ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

Microarray Gene

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Missing value estimation for DNA microarray gene expression data: local least squares imputation

Bioinformatics ◽

10.1093/bioinformatics/bth499 ◽

2004 ◽

Vol 21 (2) ◽

pp. 187-198 ◽

Cited By ~ 255

Author(s):

H. Kim ◽

G. H. Golub ◽

H. Park

Keyword(s):

Gene Expression ◽

Least Squares ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

Microarray Gene

Download Full-text