46 search results - page 3 / 10 » Hidden Markov models for detecting remote protein homologies |
BMCBI
2005
14 years 9 months ago
2005
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
BIOINFORMATICS
2005
14 years 9 months ago
2005
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
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BMCBI
2006
14 years 9 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
CIBCB
2005
IEEE
15 years 3 months ago
2005
IEEE
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
NAR
2006
14 years 9 months ago
2006
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...