Synthetic data generation with probabilistic Bayesian Networks

Synthetic data generation with probabilistic Bayesian Networks

Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method. It aims to construct network graphs from the large heterogeneous biological datasets that reflect the underlying biological relationships. Currently, a variety of strategies exist for evaluat...

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Detalles Bibliográficos
Autores principales: Grigoriy Gogoshin, Sergio Branciamore, Andrei S. Rodin
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
Materias:
bayesian networks
synthetic data generation
directed acyclic graph
probabilistic graphical models
markov blanket
central limit
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Acceso en línea:https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3
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https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3

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