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» Clustering the annotation space of proteins
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BMCBI
2007
151views more  BMCBI 2007»
13 years 9 months ago
Identification of hot regions in protein-protein interactions by sequential pattern mining
Background: Identification of protein interacting sites is an important task in computational molecular biology. As more and more protein sequences are deposited without available...
Chen-Ming Hsu, Chien-Yu Chen, Baw-Jhiune Liu, Chih...
CVPR
2010
IEEE
14 years 5 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
BMCBI
2005
147views more  BMCBI 2005»
13 years 9 months ago
GATA: a graphic alignment tool for comparative sequence analysis
Background: Several problems exist with current methods used to align DNA sequences for comparative sequence analysis. Most dynamic programming algorithms assume that conserved se...
David A. Nix, Michael B. Eisen
NAR
2006
83views more  NAR 2006»
13 years 9 months ago
KOBAS server: a web-based platform for automated annotation and pathway identification
There is an increasing need to automatically annotate a set of genes or proteins (from genome sequencing, DNA microarray analysis or protein 2D gel experiments) using controlled v...
Jianmin Wu, Xizeng Mao, Tao Cai, Jingchu Luo, Lipi...
BMCBI
2008
126views more  BMCBI 2008»
13 years 9 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionall...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre...