Results 1 to 10 of about 80,384 (252)

Modular network construction using eQTL data: an analysis of computational costs and benefits

Frontiers in Genetics, 2014
Background: In this paper, we consider analytic methods for the integrated analysis of genomic DNA variation and mRNA expression (also named as eQTL data), to discover genetic networks that are associated with a complex trait of interest.
Yen-Yi eHo, Leslie Michael Cope, Giovanni eParmigiani   +2 more
doaj   +1 more source

Diagnostic Bayesian networks

COMPUTING AND INFORMATICS, 2012
Summary: The paper presents a causal-probabilistic approach to the technical diagnosis in which the solution of the technical diagnostic problem is considered as a probabilistic inference on a special kind of Bayesian networks called diagnostic Bayesian networks.
openaire   +2 more sources

Bayesian Networks

, 2022
Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher   +4 more
  +5 more sources

American universities in the Middle East: A student’s perspective

Cogent Education, 2018
Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to
Linda Smail, Ginger Silvera
doaj   +1 more source

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

IEEE Access
Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain Monte-Carlo (MCMC) sampling methods are used to implement Bayesian ...
Rohitash Chandra, Joshua Simmons
doaj   +1 more source

The monoclonal antitoxin antibodies (actoxumab-bezlotoxumab) treatment facilitates normalization of the gut microbiota of mice with Clostridium difficile infection

Frontiers in Cellular and Infection Microbiology, 2016
Antibiotics have significant and long-lasting impacts on the intestinal microbiota and consequently reduce colonization resistance against Clostridium difficile infection (CDI). Standard therapy using antibiotics is associated with a high rate of disease
Mária Džunková, Mária Džunková, Giuseppe D'Auria, Giuseppe D'Auria, Hua Xu, Jun Huang, Yinghua Duan, Andres Moya, Andres Moya, Ciarán P Kelly, Xinhua Chen   +10 more
doaj   +1 more source

Empirical evaluation of scoring functions for Bayesian network model selection

BMC Bioinformatics, 2012
In this work, we empirically evaluate the capability of various scoring functions of Bayesian networks for recovering true underlying structures. Similar investigations have been carried out before, but they typically relied on approximate learning ...
Liu Zhifa, Malone Brandon, Yuan Changhe
doaj   +1 more source

Bayesian networks

, 2011
Antonino Freno, Edmondo Trentin
openaire   +4 more sources

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]

Sci Rep
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc   +1 more source

Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting. [PDF]

PLoS One
Filamant TC, Raherinirina AF, Totohasina A.   +2 more
europepmc   +1 more source