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...
Guardado en:
Autores principales: | Grigoriy Gogoshin, Sergio Branciamore, Andrei S. Rodin |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIMS Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/02b13fa56cb2452892c55bbe03f653a3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Genomic markers on synthetic genomes
por: Hao‐Qian Zhao, et al.
Publicado: (2021) -
Synthetic biology beyond borders
por: Karthik Raman, et al.
Publicado: (2021) -
Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network
por: Mahmood Ahmad, et al.
Publicado: (2021) -
Microbial production of small peptide: pathway engineering and synthetic biology
por: Zhiyong Wu, et al.
Publicado: (2021) -
Importance of the 5′ regulatory region to bacterial synthetic biology applications
por: Lisa Tietze, et al.
Publicado: (2021)