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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
179views more  BMCBI 2007»
13 years 8 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
BMCBI
2010
104views more  BMCBI 2010»
13 years 3 months ago
A systematic study of genome context methods: calibration, normalization and combination
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
Luciana Ferrer, Joseph M. Dale, Peter D. Karp
BMCBI
2006
149views more  BMCBI 2006»
13 years 8 months ago
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
BMCBI
2008
136views more  BMCBI 2008»
13 years 8 months ago
GPAT: Retrieval of genomic annotation from large genomic position datasets
Background: Recent genome wide transcription factor binding site or chromatin modification mapping analysis techniques, such as chromatin immunoprecipitation (ChIP) linked to DNA ...
Arnaud Krebs, Mattia Frontini, Làszlò...