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BMCBI
2010
114views more  BMCBI 2010»
14 years 9 months ago
Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray develop
Background: Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic poten...
Sébastien Terrat, Eric Peyretaillade, Olivi...
BMCBI
2006
124views more  BMCBI 2006»
14 years 9 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 9 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 1 months ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts
JCB
2002
70views more  JCB 2002»
14 years 9 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...