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» Alignment using Spectral Clusters
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166
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ISAAC
2007
Springer
109views Algorithms» more  ISAAC 2007»
16 years 26 days ago
Separating Populations with Wide Data: A Spectral Analysis
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuh...
174
Voted
NIPS
2004
15 years 8 months ago
Blind One-microphone Speech Separation: A Spectral Learning Approach
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
Francis R. Bach, Michael I. Jordan
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 12 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
223
Voted
CP
2003
Springer
15 years 12 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
CSB
2003
IEEE
128views Bioinformatics» more  CSB 2003»
16 years 13 hour ago
Degenerate Primer Design via Clustering
This paper describes a new strategy for designing degenerate primers for a given multiple alignment of amino acid sequences. Degenerate primers are useful for amplifying homologou...
Xintao Wei, David N. Kuhn, Giri Narasimhan