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» Methods for Predicting Target Sites of Transcription Factors
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BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
13 years 8 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
ICANNGA
2007
Springer
149views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, R...
BMCBI
2008
135views more  BMCBI 2008»
13 years 8 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
RECOMB
2001
Springer
14 years 8 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
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
David A. Nix, Samir J. Courdy, Kenneth M. Boucher