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...

Full description

Saved in:
Bibliographic Details
Main Authors: Grigoriy Gogoshin, Sergio Branciamore, Andrei S. Rodin
Format: article
Language:EN
Published: AIMS Press 2021
Subjects:
bayesian networks
synthetic data generation
directed acyclic graph
probabilistic graphical models
markov blanket
central limit
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Online Access:https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3

Similar Items