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» Tests for gene clustering
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132
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BMCBI
2010
153views more  BMCBI 2010»
15 years 21 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...
89
Voted
BMCBI
2005
108views more  BMCBI 2005»
15 years 14 days ago
SplitTester: software to identify domains responsible for functional divergence in protein family
Background: Many protein families have undergone functional divergence after gene duplications such that current subgroups of the family carry out overlapping but distinct biologi...
Xiang Gao, Kent Vander Velden, Daniel F. Voytas, X...
89
Voted
BMCBI
2007
126views more  BMCBI 2007»
15 years 20 days ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
99
Voted
BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
15 years 4 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
105
Voted
BMCBI
2006
163views more  BMCBI 2006»
15 years 19 days ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...