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JCB
2008
159views more  JCB 2008»
13 years 4 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
BMCBI
2005
145views more  BMCBI 2005»
13 years 4 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
IMSCCS
2006
IEEE
13 years 11 months ago
Frequency Distribution of TATA Box and Extension Sequences on Human Promoters
Background: TATA box is one of the most important transcription factor binding sites. But the exact sequences of TATA box are still not very clear. Results: In this study, we cond...
Wei Shi, Wanlei Zhou
BMCBI
2005
126views more  BMCBI 2005»
13 years 4 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
BMCBI
2008
128views more  BMCBI 2008»
13 years 5 months ago
Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate reg
Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good...
David D. Smith, Pål Sætrom, Ola R. Sn&...