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CSB
2005
IEEE
121views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Clustering Genes Using Gene Expression and Text Literature Data
Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasim...
IJKDB
2010
170views more  IJKDB 2010»
13 years 2 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
CIBCB
2007
IEEE
13 years 8 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
13 years 6 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
BMCBI
2005
152views more  BMCBI 2005»
13 years 4 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...