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ICPR
2004
IEEE
12 years 6 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
BMCBI
2006
137views more  BMCBI 2006»
11 years 5 months ago
Improving the accuracy of protein secondary structure prediction using structural alignment
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...
BMCBI
2011
10 years 9 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BIRD
2007
Springer
117views Bioinformatics» more  BIRD 2007»
11 years 11 months ago
Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction
More and more proteins have been observed to display functions through intrinsic disorder. Such structurally flexible regions are shown to play important roles in biological proces...
Chung-Tsai Su, Tong-Ming Hsu, Chien-Yu Chen, Yu-Ye...
EUROGP
2004
Springer
105views Optimization» more  EUROGP 2004»
11 years 11 months ago
Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions
Predicting the three-dimensional structure of proteins is a hard problem, so many have opted instead to predict the secondary structural state (usually helix, strand or coil) of e...
Varun Aggarwal, Robert M. MacCallum
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