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» Algorithms for Finding Gene Clusters
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139
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CIKM
2006
Springer
15 years 7 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010
BMCBI
2006
118views more  BMCBI 2006»
15 years 3 months ago
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
112
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WAIM
2009
Springer
15 years 10 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...
RECOMB
2006
Springer
16 years 3 months ago
Algorithms to Distinguish the Role of Gene-Conversion from Single-Crossover Recombination in the Derivation of SNP Sequences in
Meiotic recombination is a fundamental biological event and one of the principal evolutionary forces responsible for shaping genetic variation within species. In addition to its fu...
Yun S. Song, Zhihong Ding, Dan Gusfield, Charles H...
150
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ICASSP
2011
IEEE
14 years 7 months ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...