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» Algorithms for Finding Gene Clusters
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PR
2006
116views more  PR 2006»
15 years 3 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
154
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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
15 years 9 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
124
Voted
IAJIT
2010
191views more  IAJIT 2010»
15 years 2 months ago
Identification of Promoter Region in Genomic DNA Using Cellular Automata Based Text Clustering
: Identifying the promoter regions play a vital role in understanding human genes. This paper presents a new cellular automata based text clustering algorithm for identifying these...
Kiran Sree, Ramesh Babu
123
Voted
BMCBI
2007
105views more  BMCBI 2007»
15 years 3 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...
113
Voted
BMCBI
2010
132views more  BMCBI 2010»
15 years 3 months ago
Consistency, comprehensiveness, and compatibility of pathway databases
Background: It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current bio...
Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong