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» Gene functional classification from heterogeneous data
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CEC
2007
IEEE
14 years 1 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010
BMCBI
2011
13 years 1 months ago
Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
Yao Fu, Laura R. Jarboe, Julie A. Dickerson
SDM
2008
SIAM
157views Data Mining» more  SDM 2008»
13 years 11 months ago
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
BMCBI
2004
229views more  BMCBI 2004»
13 years 9 months ago
Automatic annotation of protein motif function with Gene Ontology terms
Background: Conserved protein sequence motifs are short stretches of amino acid sequence patterns that potentially encode the function of proteins. Several sequence pattern search...
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishna...