Biclustering of Gene Expression Data using a Two - Phase Method

Madhuleena Das; Bhogeswar Borah

doi:10.5120/18132-9232

Biclustering of Gene Expression Data using a Two - Phase Method

International Journal of Computer Applications ◽

10.5120/18132-9232 ◽

2014 ◽

Vol 103 (13) ◽

pp. 6-10 ◽

Cited By ~ 2

Author(s):

Madhuleena Das ◽

Bhogeswar Borah

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Phase Method ◽

Expression Data ◽

Two Phase

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Implementation of parallel k-means algorithm for two-phase method biclustering in Carcinoma tumor gene expression data

10.1063/1.4978973 ◽

2017 ◽

Cited By ~ 7

Author(s):

Gianinna Ardaneswari ◽

Alhadi Bustamam ◽

Titin Siswantining

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Phase Method ◽

Expression Data ◽

Two Phase ◽

Tumor Gene Expression ◽

Tumor Gene ◽

Carcinoma Tumor

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Two-phase clustering strategy for gene expression data sets

Proceedings of the 2006 ACM symposium on Applied computing - SAC '06 ◽

10.1145/1141277.1141311 ◽

2006 ◽

Cited By ~ 6

Author(s):

Dirk Habich ◽

Thomas Wächter ◽

Wolfgang Lehner ◽

Christian Pilarsky

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Sets ◽

Expression Data ◽

Two Phase

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Two Phase Integrated Rule based Model (TPC-IRBM) for Clustering of Gene Expression Data of CA1 Region of Rat Hippocampus

International Journal of Computer Applications ◽

10.5120/14580-2803 ◽

2013 ◽

Vol 84 (6) ◽

pp. 23-29

Author(s):

Sudhakar Tripathi ◽

R. B. Mishra

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Rat Hippocampus ◽

Expression Data ◽

Two Phase ◽

Rule Based ◽

Ca1 Region

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Cancer Classification from Gene Expression data using Fuzzy-Rough techniques An Empirical Study

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i6.415420 ◽

2018 ◽

Vol 6 (6) ◽

pp. 415-420

Author(s):

Ansuman Kumar ◽

Anindya Halder

Keyword(s):

Gene Expression ◽

Empirical Study ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data

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Statistical methods for analysis of time course gene expression data

Frontiers in Bioscience ◽

10.2741/a743 ◽

2002 ◽

Vol 7 (1) ◽

pp. a90-98 ◽

Cited By ~ 5

Author(s):

Hongzhe Li

Keyword(s):

Gene Expression ◽

Statistical Methods ◽

Gene Expression Data ◽

Time Course ◽

Expression Data

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Faculty Opinions recommendation of A new type of stochastic dependence revealed in gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1032265.370760 ◽

2006 ◽

Author(s):

Arcady Mushegian

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Stochastic Dependence ◽

New Type

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Faculty Opinions recommendation of A systematic comparison and evaluation of biclustering methods for gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1087930.540878 ◽

2007 ◽

Author(s):

Daniel Chamovitz

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Systematic Comparison

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Faculty Opinions recommendation of CAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.11029956.11977055 ◽

2011 ◽

Author(s):

Yuanpeng Janet Huang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Structural Information ◽

Protein Networks ◽

Expression Data ◽

Cancer Outcomes ◽

Mutation Data

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Faculty Opinions recommendation of Discovery of agents that eradicate leukemia stem cells using an in silico screen of public gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1116793.572870 ◽

2008 ◽

Author(s):

Laura Haneline

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Gene Expression Data ◽

In Silico ◽

Leukemia Stem Cells ◽

Expression Data

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Faculty Opinions recommendation of Discovery of agents that eradicate leukemia stem cells using an in silico screen of public gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1116793.1165055 ◽

2010 ◽

Author(s):

Anthony D Ho ◽

Eike C Buss ◽

Patrick Wuchter

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Gene Expression Data ◽

In Silico ◽

Leukemia Stem Cells ◽

Expression Data

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