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RECOMB
2009
Springer
14 years 6 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
BIBE
2006
IEEE
132views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
Simplicity in RNA Secondary Structure Alignment: Towards biologically plausible alignments
Ribonucleic acid (RNA) molecules contain the genetic information that regulates the functions of organisms. Given two different molecules, a preserved function corresponds to a pr...
Rimon Mikhaiel, Guohui Lin, Eleni Stroulia
BMCBI
2008
228views more  BMCBI 2008»
13 years 5 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
ISCAS
2005
IEEE
142views Hardware» more  ISCAS 2005»
13 years 11 months ago
A class of novel blind source extraction algorithms based on a linear predictor
A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction er...
Wei Liu, Danilo P. Mandic, Andrzej Cichocki
IPPS
2007
IEEE
13 years 11 months ago
RNAVLab: A unified environment for computational RNA structure analysis based on grid computing technology
Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. An RNA molecule is a linear polymer which folds back o...
Michela Taufer, Ming-Ying Leung, Kyle L. Johnson, ...