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BMCBI
2007
247views more  BMCBI 2007»
13 years 6 months ago
A survey of DNA motif finding algorithms
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
Modan K. Das, Ho-Kwok Dai
BMCBI
2008
172views more  BMCBI 2008»
13 years 6 months ago
Compo: composite motif discovery using discrete models
Background: Computational discovery of motifs in biomolecular sequences is an established field, with applications both in the discovery of functional sites in proteins and regula...
Geir Kjetil Sandve, Osman Abul, Finn Drablø...
BMCBI
2005
169views more  BMCBI 2005»
13 years 6 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
BMCBI
2006
137views more  BMCBI 2006»
13 years 6 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
JCB
2008
159views more  JCB 2008»
13 years 6 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