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» Computation of significance scores of unweighted Gene Set En...
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BMCBI
2007
148views more  BMCBI 2007»
13 years 4 months ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...
BMCBI
2004
143views more  BMCBI 2004»
13 years 4 months ago
Comparing functional annotation analyses with Catmap
Background: Ranked gene lists from microarray experiments are usually analysed by assigning significance to predefined gene categories, e.g., based on functional annotations. Tool...
Thomas Breslin, Patrik Edén, Morten Krogh
BMCBI
2010
96views more  BMCBI 2010»
13 years 4 months 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
BMCBI
2008
202views more  BMCBI 2008»
13 years 4 months ago
Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
BMCBI
2010
135views more  BMCBI 2010»
13 years 4 months ago
Lists2Networks: Integrated analysis of gene/protein lists
Background: Systems biologists are faced with the difficultly of analyzing results from large-scale studies that profile the activity of many genes, RNAs and proteins, applied in ...
Alexander Lachmann, Avi Ma'ayan