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» Clustering gene expression patterns
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COMPSAC
2004
IEEE
15 years 1 months ago
On the Complexity of Finding Emerging Patterns
Emerging patterns have been studied as a useful type of pattern for the diagnosis and understanding of diseases based on the analysis of gene expression profiles. They are useful ...
Lusheng Wang, Hao Zhao, Guozhu Dong, Jianping Li
BMCBI
2010
110views more  BMCBI 2010»
14 years 10 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
ISBRA
2007
Springer
15 years 4 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
PPSN
2004
Springer
15 years 3 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
SAC
2004
ACM
15 years 3 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra