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» Machine learned regression for abductive DNA sequencing
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ICMLA
2007
13 years 6 months ago
Machine learned regression for abductive DNA sequencing
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
David Thornley, Maxim Zverev, Stavros Petridis
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
13 years 3 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
BMCBI
2010
109views more  BMCBI 2010»
13 years 5 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
ICML
2004
IEEE
14 years 6 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 1 months ago
DNA Sequencing via Quantum Mechanics and Machine Learning
Henry Yuen, Fuyuki Shimojo, Kevin J. Zhang, Ken-ic...