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» Revealing sequence variation patterns in rice with machine l...
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BMCBI
2008
84views more  BMCBI 2008»
13 years 5 months ago
Revealing sequence variation patterns in rice with machine learning methods
Regina Bohnert, Georg Zeller, Richard M. Clark, Ke...
ICML
1999
IEEE
14 years 5 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»
13 years 5 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