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» DIG - a system for gene annotation and functional discovery
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BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
COMPLIFE
2006
Springer
13 years 11 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
GeneChaser: Identifying all biological and clinical conditions in which genes of interest are differentially expressed
Background: The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinfo...
Rong Chen, Rohan Mallelwar, Ajit Thosar, Shivkumar...
BIOCOMP
2009
13 years 5 months ago
Gene Expression Analysis Using Communications, Coding and Information Theory Based Models
- Identification and annotation of all the functional elements in the genome, including genes and regulatory sequences, is a fundamental challenge in genomics and computational bio...
Mohammad Al Bataineh, Lun Huang, Ismaeel Muhamed, ...
BMCBI
2010
196views more  BMCBI 2010»
13 years 4 months ago
Content-based microarray search using differential expression profiles
Background: With the expansion of public repositories such as the Gene Expression Omnibus (GEO), we are rapidly cataloging cellular transcriptional responses to diverse experiment...
Jesse M. Engreitz, Alexander A. Morgan, Joel Dudle...