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» A graphical model for protein secondary structure prediction
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CIBCB
2005
IEEE
14 years 19 days ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— 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...
Eleazar Eskin, Sagi Snir
RECOMB
2006
Springer
14 years 7 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
Improved Chou-Fasman method for protein secondary structure prediction
Background: Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique ha...
Hang Chen, Fei Gu, Zhengge Huang
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...
MLMTA
2007
13 years 8 months ago
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator
- Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challeng...
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Ha...