Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression.

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Bibliographic Details
Title: Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression.
Authors: Morrissey ER; Systems Biology Centre, University of Warwick, Coventry House, CV4 7AL, Coventry, UK., Juárez MA, Denby KJ, Burroughs NJ
Source: Biostatistics (Oxford, England) [Biostatistics] 2011 Oct; Vol. 12 (4), pp. 682-94. Date of Electronic Publication: 2011 May 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100897327 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-4357 (Electronic) Linking ISSN: 14654644 NLM ISO Abbreviation: Biostatistics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1468-4357
DOI:10.1093/biostatistics/kxr009