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Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context
Hui Yuan Xiong* , Yoseph Barash* and Brendan Frey
Bininformatics, 2011, in press
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Predicting Tissue-Dependent Alternative Splicing Using Bayesian Neural Networks
Hui Yuan Xiong , Yoseph Barash* and Brendan Frey*
MLCB, 2010
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An illuminated view of molecular biology
Yoseph Barash*, Xinchen Wang
Genome Biology , 11:307, August 2010
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Model-Based Detection of Alternative Splicing Signals
Yoseph Barash*, Benjamin J. Blencowe & Brendan J. Frey*
Bioinofrmatics, Vol. 26 p. i325-333, 2010
Also, presented at the 18th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2010
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Deciphering the splicing code
Yoseph Barash*, John A. Calarco*, Weijun Gao, Qun Pan, Xinchen Wang, Ofer Shai, Benjamin J. Blencowe, and Brendan J. Frey
Nature, Vol 465|6, May 2010
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A systematic analysis of intronic sequences downstream of 5' splice sites reveals a widespread role for U-rich motifs and TIA1/TIAL1 proteins in alternative splicing regulation
I Aznarez*, Y Barash*, O Shai, D He, J Zielenski, LC Tsui, J Parkinson, B Frey, JM Rommens, B Blencowe
Genome Res. Aug;18(8):1247-58, 2008
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Functional coordination of alternative splicing in the mammalian central nervous system
M. Fagnani*, Y. Barash*, J. Y. Ip, C. Misquitta, Q. Pan, A. Saltzman, O Shai, L. Lee, A. Rozenhek, N. Mohammad, S. Willaime-Morawek, T. Babak, W. Zhang, T. R. Hughes, D. Kooy, B. J. Frey and B. J. Blencowe.
Genome Biology, 8:R108, 2007
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Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression
with R.M. Marion, A. Regev, E. Segal, D. Koller, N. Friedman and E.K. O'Shea.
Proc. National Academy of Sciences USA, 101:14315-22, 2004.
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CIS: Compound Importance Sampling Method for Protein-DNA Binding Site p-value Estimation
Yoseph Barash, Gal Elidan, Tommy Kaplan, Nir Friedman.
* Bioinofrmatics,2004 Apr 12;20(6):839-46.
* 12th International Conference on Intelligent Systems for Molecular Biology (ISMB 04)
(shorter version)
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Comparative Analysis of Algorithms for Signal Quantitation from Oligonucleotide Microarrays
Y. Barash, E. Dehan, M.Krupsky, W. Franklin, M. Geraci,N. Friedman and N. Kaminski.
Bioinofrmaitcs,2004 Apr 12;20(6):839-46.
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Modeling Dependencies in Protein-DNA Binding Sites
Yoseph Barash Gal Elidan, Nir Friedman and Tommy Kaplan.
Proc. Seventh Annual Inter. Conf. on Computational Molecular Biology (RECOMB), 2003.
PostScript, PDF, Web Supplement.
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Context-Specific Bayesian Clustering for Gene Expression Data
Yoseph Barash and Nir Friedman.
Journal of Computational Biology, 9:169-191, 2002. PostScript, PDF.
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From Promoter Sequence to Expression: A Probabilistic Framework
E. Segal, Yoseph Barash, I. Simon, Nir Friedman and D. Koller.
Proc. Sixth Annual Inter. Conf. on Computational Molecular Biology (RECOMB), 2002.
PostScript, PDF.
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A simple hyper-geometric approach for discovering putative transcription factor binding sites
Yoseph Barash, G. Bejerano and Nir Friedman.
Algorithms in Bioinformatics: Proc. First International Workshop, 2001. PostScript, PDF.
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Context-Specific Bayesian Clustering for Gene Expression Data
Yoseph Barash and Nir Friedman.
Proc. Fifth Annual Inter. Conf. on Computational Molecular Biology (RECOMB), 2001.
PostScript, PDF.