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» A Factorization Approach to Grouping
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BMCBI
2010
216views more  BMCBI 2010»
14 years 11 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...
BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
BMCBI
2004
146views more  BMCBI 2004»
15 years 3 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
JOI
2010
109views more  JOI 2010»
15 years 2 months ago
Citing-side normalization of journal impact: A robust variant of the Audience Factor
The principle of a new type of impact measure was introduced recently, called the "audience factor" (AF). It is a variant of the journal impact factor where emitted cita...
Michel Zitt

Publication
197views
13 years 12 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...