Rough Set based Attribute Clustering for Sample Classification of Gene Expression Data

Procedia Engineering ◽

10.1016/j.proeng.2012.06.219 ◽

2012 ◽

Vol 38 ◽

pp. 1788-1792 ◽

Cited By ~ 6

Author(s):

Rudra Kalyan Nayak ◽

Debahuti Mishra ◽

Kailash Shaw ◽

Sashikala Mishra

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Rough Set ◽

Expression Data ◽

Sample Classification ◽

Attribute Clustering

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A semi-supervised rough set and random forest approach for pattern classification of gene expression data

International Journal of Reasoning-based Intelligent Systems ◽

10.1504/ijris.2016.082976 ◽

2016 ◽

Vol 8 (3/4) ◽

pp. 155 ◽

Cited By ~ 1

Author(s):

Pradeep Kumar Mallick ◽

Debahuti Mishra ◽

Srikanta Patnaik ◽

Kailash Shaw

Keyword(s):

Gene Expression ◽

Random Forest ◽

Pattern Classification ◽

Gene Expression Data ◽

Rough Set ◽

Expression Data

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Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2005.17 ◽

2005 ◽

Vol 2 (2) ◽

pp. 83-101 ◽

Cited By ~ 117

Author(s):

Wai-Ho Au ◽

K.C.C. Chan ◽

A.K.C. Wong ◽

Yang Wang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Attribute Clustering

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Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

PLoS ONE ◽

10.1371/journal.pone.0039932 ◽

2012 ◽

Vol 7 (7) ◽

pp. e39932 ◽

Cited By ~ 54

Author(s):

Enrico Glaab ◽

Jaume Bacardit ◽

Jonathan M. Garibaldi ◽

Natalio Krasnogor

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Gene Expression Data ◽

Disease Gene ◽

Cancer Gene ◽

Expression Data ◽

Rule Based ◽

Sample Classification ◽

Disease Gene Prioritization

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A semi-supervised rough set and random forest approach for pattern classification of gene expression data

International Journal of Reasoning-based Intelligent Systems ◽

10.1504/ijris.2016.10003972 ◽

2016 ◽

Vol 8 (3/4) ◽

pp. 155

Author(s):

Kailash Shaw ◽

Debahuti Mishra ◽

Srikanta Patnaik ◽

Pradeep Kumar Mallick

Keyword(s):

Gene Expression ◽

Random Forest ◽

Pattern Classification ◽

Gene Expression Data ◽

Rough Set ◽

Expression Data

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Correction to "Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data"

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2007.1026 ◽

2007 ◽

Vol 4 (1) ◽

pp. 157-157 ◽

Cited By ~ 2

Author(s):

Wai-ho Au ◽

Keith Chan ◽

Andrew Wong ◽

Yang Wang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Attribute Clustering

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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 ◽

Cited By ~ 3

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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Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection

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

10.1007/3-540-34416-0_35 ◽

2006 ◽

pp. 325-332

Author(s):

Edgar Acuña ◽

Jaime Porras

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Gene Expression Data ◽

Principal Components ◽

Expression Data

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Classification of micro-array gene expression data using neural networks

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596568 ◽

2010 ◽

Author(s):

David Tian ◽

Keith Burley

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Gene Expression Data ◽

Expression Data ◽

Micro Array

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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 ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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An Approach to reduce the large feature space of Microarray Gene Expression Data by gene clustering for efficient sample classification

INTERNATIONAL JOURNAL OF COMPUTER APPLICATION ◽

10.26808/rs.ca.i8v3.01 ◽

2018 ◽

Vol 3 (8) ◽

Author(s):

Sheela T ◽

Lalitha Rangarajan

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Feature Space ◽

Microarray Gene Expression Data ◽

Gene Clustering ◽

Expression Data ◽

Microarray Gene Expression ◽

Sample Classification ◽

Microarray Gene

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