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» Maximum entropy methods for biological sequence modeling
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PAMI
2006
143views more  PAMI 2006»
13 years 9 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
BMCBI
2006
172views more  BMCBI 2006»
13 years 9 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
RECOMB
2008
Springer
14 years 9 months ago
Integrating Sequence and Topology for Efficient and Accurate Detection of Horizontal Gene Transfer
Abstract. One phylogeny-based approach to horizontal gene transfer (HGT) detection entails comparing the topology of a gene tree to that of the species tree, and using their differ...
Cuong Than, Guohua Jin, Luay Nakhleh
RECOMB
2010
Springer
13 years 11 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song
BMCBI
2010
151views more  BMCBI 2010»
13 years 9 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou