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» Gene Expression Clustering with Functional Mixture Models
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BIOCOMP
2009
13 years 7 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
122views more  BMCBI 2010»
13 years 4 months ago
Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
Troy Hawkins, Meghana Chitale, Daisuke Kihara
BMCBI
2006
203views more  BMCBI 2006»
13 years 9 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 11 months ago
Finding Time-Lagged 3D Clusters
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
Xin Xu, Ying Lu, Kian-Lee Tan, Anthony K. H. Tung
BMCBI
2005
145views more  BMCBI 2005»
13 years 9 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang