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RECOMB
2005
Springer
16 years 24 days ago
Modeling the Combinatorial Functions of Multiple Transcription Factors
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
Chen-Hsiang Yeang, Tommi Jaakkola
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 17 days ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
BMCBI
2010
100views more  BMCBI 2010»
15 years 18 days ago
Trimming of mammalian transcriptional networks using network component analysis
Background: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. ...
Linh M. Tran, Daniel R. Hyduke, James C. Liao
BMCBI
2008
107views more  BMCBI 2008»
15 years 18 days ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
PDP
2008
IEEE
15 years 6 months ago
Scheduling of QR Factorization Algorithms on SMP and Multi-Core Architectures
This paper examines the scalable parallel implementation of QR factorization of a general matrix, targeting SMP and multi-core architectures. Two implementations of algorithms-by-...
Gregorio Quintana-Ortí, Enrique S. Quintana...