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» Maximum entropy methods for biological sequence modeling
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
BMCBI
2007
142views more  BMCBI 2007»
13 years 9 months ago
SABERTOOTH: protein structural alignment based on a vectorial structure representation
Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...
Florian Teichert, Ugo Bastolla, Markus Porto
BMCBI
2005
117views more  BMCBI 2005»
13 years 9 months ago
An SVM-based system for predicting protein subnuclear localizations
Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
Zhengdeng Lei, Yang Dai
BMCBI
2010
127views more  BMCBI 2010»
13 years 9 months ago
PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
Khader Shameer, Lalima L. Madan, Shivamurthy Veera...