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 ◽

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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A novel interpolation based missing value estimation method to predict missing values in microarray gene expression data

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) ◽

10.1109/codis.2012.6422202 ◽

2012 ◽

Author(s):

Shilpi Bose ◽

Chandra Das ◽

Sourav Dutta ◽

Samiran Chattopadhyay

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Missing Values ◽

Estimation Method ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

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 ◽

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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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 ◽

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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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 ◽

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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Missing value estimation for DNA microarray gene expression data with principal curves

2010 International Conference on Bioinformatics and Biomedical Technology ◽

10.1109/icbbt.2010.5478964 ◽

2010 ◽

Author(s):

Jinlong Shi ◽

Zhigang Luo

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Principal Curves ◽

Microarray Gene Expression ◽

Value Estimation ◽

Missing Value Estimation ◽

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 ◽

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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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 ◽

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 ◽

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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Hybrid Genetic Algorithm and Simulated Annealing for Clustering Microarray Gene Expression data

Journal of Physics Conference Series ◽

10.1088/1742-6596/1767/1/012034 ◽

2021 ◽

Vol 1767 (1) ◽

pp. 012034

Author(s):

M Pandi ◽

T Sivakumar ◽

N Senthil Madasamy ◽

N Sadhasivam

Keyword(s):

Gene Expression ◽

Genetic Algorithm ◽

Simulated Annealing ◽

Gene Expression Data ◽

Hybrid Genetic Algorithm ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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A class imbalance-aware Relief algorithm for the classification of tumors using microarray gene expression data

Computational Biology and Chemistry ◽

10.1016/j.compbiolchem.2019.03.017 ◽

2019 ◽

Vol 80 ◽

pp. 121-127 ◽

Author(s):

Yuanyu He ◽

Junhai Zhou ◽

Yaping Lin ◽

Tuanfei Zhu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Class Imbalance ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Relief Algorithm ◽

Classification Of Tumors ◽

Microarray Gene

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