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» Revealing sequence variation patterns in rice with machine l...
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BMCBI
2008
84views more  BMCBI 2008»
14 years 10 months ago
Revealing sequence variation patterns in rice with machine learning methods
Regina Bohnert, Georg Zeller, Richard M. Clark, Ke...
ICML
1999
IEEE
15 years 11 months ago
Detecting Motifs from Sequences
The problemofmultipleglobalcomparisonin familiesof biologicalsequences has been wellstudied. Fewer algorithms have been developed for identifying local consensus patterns or motif...
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
BMCBI
2010
214views more  BMCBI 2010»
14 years 10 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper