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» Using sampling methods to improve binding site predictions
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BMCBI
2010
153views more  BMCBI 2010»
15 years 18 days ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
91
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BMCBI
2006
82views more  BMCBI 2006»
15 years 16 days ago
Selection of antisense oligonucleotides based on multiple predicted target mRNA structures
Background: Local structures of target mRNAs play a significant role in determining the efficacies of antisense oligonucleotides (ODNs), but some structure-based target site selec...
Xiaochen Bo, Shaoke Lou, Daochun Sun, Wenjie Shu, ...
BMCBI
2010
176views more  BMCBI 2010»
15 years 18 days ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
114
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BMCBI
2005
102views more  BMCBI 2005»
15 years 11 days ago
Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computatio
Background: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription...
Emmitt R. Jolly, Chen-Shan Chin, Ira Herskowitz, H...
120
Voted
NIPS
2001
15 years 1 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura