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» DNA Sequencing via Quantum Mechanics and Machine Learning
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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...
BMCBI
2006
95views more  BMCBI 2006»
13 years 4 months ago
Predicting DNA-binding sites of proteins from amino acid sequence
Background: Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach f...
Changhui Yan, Michael Terribilini, Feihong Wu, Rob...
BMCBI
2008
220views more  BMCBI 2008»
13 years 5 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ICML
2004
IEEE
14 years 5 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...