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» A Differential Approach to Inference in Bayesian Networks
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RECOMB
2004
Springer
14 years 9 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
BMCBI
2007
97views more  BMCBI 2007»
13 years 8 months ago
In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
CVPR
2006
IEEE
14 years 10 months ago
Inferring Facial Action Units with Causal Relations
A system that could automatically analyze the facial actions in real time have applications in a number of different fields. However, developing such a system is always a challeng...
Yan Tong, Wenhui Liao, Qiang Ji
BMCBI
2010
125views more  BMCBI 2010»
13 years 3 months ago
ProbFAST: Probabilistic Functional Analysis System Tool
Background: The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered...
Israel T. da Silva, Ricardo Z. N. Vêncio, Th...
JCB
2007
198views more  JCB 2007»
13 years 8 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III