Molecular causes of transcriptional response: a Bayesian prior knowledge approach-Reference-Cited by-同舟云学术

Molecular causes of transcriptional response: a Bayesian prior knowledge approach

Published:2013-09-26 Issue:24 Volume:29 Page:3167-3173
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zarringhalam Kourosh¹¹,Enayetallah Ahmed¹,Gutteridge Alex¹,Sidders Ben¹,Ziemek Daniel¹

Affiliation:

1. Computational Sciences Center of Emphasis, Pfizer Worldwide Research & Development, Cambridge, MA 02140, USA, 2Department of Mathematics, University of Massachusetts Boston, Boston, MA 02125, USA, 3Drug Safety Research & Development, Pfizer, Groton, CT 06340, USA and 4Neusentis, Pfizer Worldwide Research & Development, Cambridge CB21 6GS, UK

Funder

NIH

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/29/24/3167/25499689/btt557.pdf

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5. Physiological concentrations of interleukin-6 directly promote insulin secretion, signal transduction, nitric oxide release, and redox status in a clonal pancreatic beta-cell line and mouse islets;da Silva Krause;J. Endocrinol.,2012

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