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BICOB
2009
Springer
13 years 3 months ago
A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...
COCOA
2009
Springer
13 years 9 months ago
Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
14 years 2 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
13 years 9 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010