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» Tests for gene clustering
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119
Voted
BMCBI
2010
150views more  BMCBI 2010»
14 years 10 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
105
Voted
WOB
2007
15 years 1 months ago
Gene Set Enrichment Analysis Using Non-parametric Scores
Abstract. Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method cre...
Ariel E. Bayá, Mónica G. Larese, Pab...
102
Voted
NAR
2008
100views more  NAR 2008»
15 years 22 days ago
The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts
Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource...
95
Voted
BMCBI
2010
96views more  BMCBI 2010»
15 years 27 days ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
97
Voted
AIIA
2009
Springer
15 years 7 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...