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» Learning Methods for DNA Binding in Computational Biology
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RECOMB
2005
Springer
15 years 10 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
IMSCCS
2007
IEEE
15 years 4 months ago
Evolutionary Conservation of DNA-Contact residues in DNA-binding Domains
Background: DNA-binding proteins are of utmost importance to gene regulation. The identification of DNA-binding domains is useful for understanding the regulation mechanisms of DN...
Yao-Lin Chang, Huai-Kuang Tsai, Cheng-Yan Kao, Yun...
BMCBI
2002
128views more  BMCBI 2002»
14 years 9 months ago
Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in euka
Background: Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding regi...
Michele Caselle, Ferdinando Di Cunto, Paolo Prover...
BMCBI
2006
112views more  BMCBI 2006»
14 years 9 months ago
GENOMEMASKER package for designing unique genomic PCR primers
Background: The design of oligonucleotides and PCR primers for studying large genomes is complicated by the redundancy of sequences. The eukaryotic genomes are particularly diffic...
Reidar Andreson, Eric Reppo, Lauris Kaplinski, Mai...
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BMCBI
2006
137views more  BMCBI 2006»
14 years 9 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...