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BMCBI
2007
146views more  BMCBI 2007»
15 years 4 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2008
188views more  BMCBI 2008»
15 years 4 months ago
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data
Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification...
Nicola Zamboni, Anne Kümmel, Matthias Heinema...
151
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CORR
2006
Springer
118views Education» more  CORR 2006»
15 years 4 months ago
Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge s
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
L.-M. Birkholtz, Olivier Bastien, G. Wells, D. Gra...
133
Voted
RECOMB
2002
Springer
16 years 4 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
BMCBI
2007
123views more  BMCBI 2007»
15 years 4 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...