Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data

Expression Data ◽

Reduction Techniques ◽

Microarray Gene ◽

Dimension Reduction Techniques

Classification of Microarray Gene Expression Data by MultiBlock Dimension Reduction

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2006.13.3.567 ◽

2006 ◽

Vol 13 (3) ◽

pp. 567-576

Author(s):

Mi-Ra Oh ◽

Seo-Young Kim ◽

Kyung-Sook Kim ◽

Jang-Sun Baek ◽

Young-Sook Son

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Gene Expression Data ◽

Expression Data ◽

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 ◽

Expression Data ◽

Microarray Gene ◽

Censored Response

An Enhanced Dimension Reduction Approach for Microarray Gene Expression Data

Interdisciplinary Bio Central ◽

10.4051/ibc.2009.4.0013 ◽

2009 ◽

Vol 1 (4) ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Sung-suk Kim ◽

Hyunju Lee

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Gene Expression Data ◽

Expression Data ◽

Microarray Gene ◽

Reduction Approach

A comparative study of different machine learning methods on microarray gene expression data

BMC Genomics ◽

10.1186/1471-2164-9-s1-s13 ◽

2008 ◽

Vol 9 (Suppl 1) ◽

pp. S13 ◽

Cited By ~ 111

Author(s):

Mehdi Pirooznia ◽

Jack Y Yang ◽

Mary Qu Yang ◽

Youping Deng

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

Learning Methods ◽

Machine Learning Methods ◽

Peer Review #3 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.1)"

10.7287/peerj-cs.270v0.1/reviews/3 ◽

2020 ◽

Author(s):

MM Zegarra Pimenta

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

Cancer Types ◽

Peer Review #1 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.1)"

10.7287/peerj-cs.270v0.1/reviews/1 ◽

2020 ◽

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

Cancer Types ◽

Peer Review #3 of "A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data (v0.2)"

10.7287/peerj-cs.270v0.2/reviews/3 ◽

2020 ◽

Author(s):

MM Zegarra Pimenta

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Deep Learning ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

Cancer Types ◽

Missing value imputation in DNA microarray gene expression data: a comparative study of an improved collaborative filtering method with decision tree based approach

International Journal of Computational Science and Engineering ◽

10.1504/ijcse.2019.097954 ◽

2019 ◽

Vol 18 (2) ◽

pp. 130

Author(s):

Sujay Saha ◽

Anupam Ghosh ◽

Saikat Bandopadhyay ◽

Kashi Nath Dey

Keyword(s):

Gene Expression ◽

Decision Tree ◽

Comparative Study ◽

Dna Microarray ◽

Gene Expression Data ◽

Expression Data ◽

Filtering Method ◽

Agent and Multi-Agent Systems: Technologies and Applications - Smart Innovation, Systems and Technologies ◽

Multi-objective Optimization for Clustering Microarray Gene Expression Data - A Comparative Study

10.1007/978-3-319-19728-9_10 ◽

2015 ◽

pp. 123-133 ◽

Cited By ~ 3

Author(s):

Muhammad Marwan Muhammad Fuad

Keyword(s):

Gene Expression ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽

Multi Objective Optimization ◽

Multi Objective ◽

A Machine Learning-Based Comparative Study for the Classification of Septic Shock Using Microarray Gene Expression Data

2019 International Conference on Frontiers of Information Technology (FIT) ◽

10.1109/fit47737.2019.00022 ◽

2019 ◽

Author(s):

Arslan Ali ◽

Ayesha Hanif ◽

Arsalan Tahir ◽

Hafiz Umar Iftikhar ◽

Huma Shehwana ◽

...

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Septic Shock ◽

Comparative Study ◽

Gene Expression Data ◽

Expression Data ◽