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BMCBI
2008
228views more  BMCBI 2008»
13 years 8 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
ICPR
2008
IEEE
14 years 9 months ago
Fast protein homology and fold detection with sparse spatial sample kernels
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
Pai-Hsi Huang, Pavel P. Kuksa, Vladimir Pavlovic
COMPLIFE
2005
Springer
14 years 1 months ago
Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization
During the last few years new functionalities of RNA have been discovered, renewing the need for computational tools for their analysis. To this respect, multiple sequence alignmen...
Markus Bauer, Gunnar W. Klau, Knut Reinert
BMCBI
2008
93views more  BMCBI 2008»
13 years 8 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
BMCBI
2010
150views more  BMCBI 2010»
13 years 8 months ago
Evolutionary rates at codon sites may be used to align sequences and infer protein domain function
Background: Sequence alignments form part of many investigations in molecular biology, including the determination of phylogenetic relationships, the prediction of protein structu...
Pierre M. Durand, Scott Hazelhurst, Theresa L. Coe...