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Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
BMCBI
2006
123views more  BMCBI 2006»
13 years 9 months ago
How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
Background: Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Mic...
Frank F. Millenaar, John Okyere, Sean T. May, Mart...
BMCBI
2007
148views more  BMCBI 2007»
13 years 9 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
2006
124views more  BMCBI 2006»
13 years 9 months ago
Predicting transcription factor binding sites using local over-representation and comparative genomics
Background: Identifying cis-regulatory elements is crucial to understanding gene expression, which highlights the importance of the computational detection of overrepresented tran...
Matthieu Defrance, Hélène Touzet
BMCBI
2008
124views more  BMCBI 2008»
13 years 9 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...