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» A factor model to analyze heterogeneity in gene expression
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CIKM
2006
Springer
13 years 8 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010
RECOMB
2001
Springer
14 years 5 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
EDBT
2002
ACM
130views Database» more  EDBT 2002»
14 years 4 months ago
Gene Expression Data Management: A Case Study
One of the major challenges facing scientists dealing with gene expression data is how to integrate, explore and analyze vast quantities of related data, often residing in multiple...
Victor M. Markowitz, I-Min A. Chen, Anthony Kosky
BMCBI
2006
137views more  BMCBI 2006»
13 years 4 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
BMCBI
2010
149views more  BMCBI 2010»
13 years 4 months ago
Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes
Background: With the growing number of public repositories for high-throughput genomic data, it is of great interest to combine the results produced by independent research groups...
Sigrid Rouam, Thierry Moreau, Philippe Broët