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» A Parallel Algorithm for Gene Expressing Data Biclustering
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131
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BMCBI
2010
153views more  BMCBI 2010»
15 years 20 days ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 6 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
117
Voted
BMCBI
2005
142views more  BMCBI 2005»
15 years 13 days ago
CLU: A new algorithm for EST clustering
Background: The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST ...
Andrey A. Ptitsyn, Winston Hide
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
16 years 29 days ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
ECCB
2003
IEEE
15 years 5 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...