Sciweavers

274 search results - page 26 / 55
» Identifying Projected Clusters from Gene Expression Profiles
Sort
View
BMCBI
2005
212views more  BMCBI 2005»
13 years 8 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
BMCBI
2008
154views more  BMCBI 2008»
13 years 9 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
BMCBI
2006
105views more  BMCBI 2006»
13 years 8 months ago
Integrative investigation of metabolic and transcriptomic data
Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time,...
Pinar Pir, Betül Kirdar, Andrew Hayes, Z. Ils...
ICONIP
2010
13 years 6 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...