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» Machine learned regression for abductive DNA sequencing
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BMCBI
2006
95views more  BMCBI 2006»
14 years 9 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...
ICML
2005
IEEE
15 years 10 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
CIBCB
2006
IEEE
15 years 3 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
ISMB
2000
14 years 11 months ago
Combinatorial Approaches to Finding Subtle Signals in DNA Sequences
Signal nding pattern discovery in unaligned DNA sequences is a fundamental problem in both computer science and molecular biology with important applications in locating regulator...
Pavel A. Pevzner, Sing-Hoi Sze
BMCBI
2005
126views more  BMCBI 2005»
14 years 9 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois