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» Learning Methods for DNA Binding in Computational Biology
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ISMB
2000
13 years 6 months ago
A Statistical Method for Finding Transcription Factor Binding Sites
Understanding the mechanismsthat determine the regulation of geneexpression is an important and challenging problem. A fundamental subproblem is to identify DNA-bindingsites for u...
Saurabh Sinha, Martin Tompa
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Background: Transcription factors (TFs) control transcription by binding to specific regions of DNA called transcription factor binding sites (TFBSs). The identification of TFBSs ...
Fernando Garcia-Alcalde, Armando Blanco, Adrian J....
BMCBI
2005
201views more  BMCBI 2005»
13 years 5 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
CIBCB
2007
IEEE
13 years 11 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
RECOMB
2004
Springer
14 years 5 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...