As a step toward the high-throughput generation of biological models, we propose a Bayesian approach to improving draft genome-scale metabolic models. A ...
Toward the high- throughput generation of biological models, we propose a Bayesian approach to improving draft genome-scale metabolic models. A collection ...
Toward the highthroughput generation of biological models, we propose a Bayesian approach to improving draft genome-scale metabolic models. A collection of 23 ...
We demonstrate this approach on microbial infections of mice, where the bronchial alveolar lavage fluid was analyzed by three HTP technologies, two proteomic ...
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The proposed approach is tested using different classes of pattern formation models and severely limited data sets. For all considered equations, parallel, GPU- ...
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Oct 25, 2019 · Our software implements a probabilistic, fully Bayesian model of screen data. The model uses the negative binomial distribution with gamma ...
Nov 1, 2011 · Here, we develop and evaluate through simulation an experimental approach that allows simultaneous high-throughput quantitative analysis of TF ...
Jun 26, 2018 · Abstract. This paper presents a new modeling strategy for joint unsupervised analysis of multiple high-throughput biological studies.
... Bayesian graphical modeling approaches infer biological regulatory networks by integrating expression levels of different types. Specific sequence/structure ...
Jul 21, 2020 · The model uses the negative binomial distribution with gamma priors to model sequencing counts while accounting for effects from input library ...