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BMCBI
2006
110views more  BMCBI 2006»
13 years 8 months ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...
BMCBI
2007
218views more  BMCBI 2007»
13 years 8 months ago
Annotation and query of tissue microarray data using the NCI Thesaurus
Background: The Stanford Tissue Microarray Database (TMAD) is a repository of data serving a consortium of pathologists and biomedical researchers. The tissue samples in TMAD are ...
Nigam H. Shah, Daniel L. Rubin, Inigo Espinosa, Ke...
BMCBI
2007
147views more  BMCBI 2007»
13 years 8 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
BMCBI
2007
167views more  BMCBI 2007»
13 years 8 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
BMCBI
2007
138views more  BMCBI 2007»
13 years 8 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
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