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BMCBI
2007
126views more  BMCBI 2007»
13 years 7 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
BMCBI
2004
207views more  BMCBI 2004»
13 years 7 months ago
Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resen
Background: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition moti...
Davide Corà, Ferdinando Di Cunto, Paolo Pro...
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
WSC
2004
13 years 8 months ago
Data Farming Coevolutionary Dynamics in RePast
This paper describes the application of data farming techniques (Brandstein and Horne 1998) to explore various aspects of coevolutionary dynamics (McKelvey 2002) in organization s...
Brian F. Tivnan
BMCBI
2006
86views more  BMCBI 2006»
13 years 7 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...