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JCB
2002
70views more  JCB 2002»
13 years 8 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
BMCBI
2007
105views more  BMCBI 2007»
13 years 9 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,...
BMCBI
2005
77views more  BMCBI 2005»
13 years 8 months ago
Ontological visualization of protein-protein interactions
Background: Cellular processes require the interaction of many proteins across several cellular compartments. Determining the collective network of such interactions is an importa...
Harold J. Drabkin, Christopher Hollenbeck, David P...
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
13 years 8 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
BMCBI
2010
99views more  BMCBI 2010»
13 years 9 months ago
Shared probe design and existing microarray reanalysis using PICKY
Background: Large genomes contain families of highly similar genes that cannot be individually identified by microarray probes. This limitation is due to thermodynamic restriction...
Hui-Hsien Chou