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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 28 days 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
2006
165views more  BMCBI 2006»
13 years 7 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
BMCBI
2005
113views more  BMCBI 2005»
13 years 7 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
BMCBI
2010
96views more  BMCBI 2010»
13 years 7 months ago
QTLminer: identifying genes regulating quantitative traits
Background: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to...
Rudi Alberts, Klaus Schughart
NAR
2008
174views more  NAR 2008»
13 years 5 months ago
miRGator: an integrated system for functional annotation of microRNAs
MicroRNAs (miRNAs) constitute an important class of regulators that are involved in various cellular and disease processes. However, the functional significance of each miRNA is m...
Seungyoon Nam, Bumjin Kim, Seokmin Shin, Sanghyuk ...