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» On the Choice and Number of Microarrays for Transcriptional ...
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BMCBI
2007
112views more  BMCBI 2007»
13 years 5 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
BMCBI
2010
112views more  BMCBI 2010»
13 years 5 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
BMCBI
2008
135views more  BMCBI 2008»
13 years 5 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
BIOCOMP
2006
13 years 6 months ago
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
Frank Emmert-Streib, Matthias Dehmer
ALMOB
2007
111views more  ALMOB 2007»
13 years 5 months ago
Transcriptional regulatory network discovery via multiple method integration: application to e. coli K12
Motivation: Transcriptional regulatory network (TRN) discovery from one method (e.g. microarray analysis, gene ontology, phylogenic similarity) does not seem feasible due to lack ...
Jingjun Sun, Kagan Tuncay, Alaa Abi Haidar, Lisa E...