Cargando…
Inference of Molecular Regulatory Systems Using Statistical Path-Consistency Algorithm
One of the key challenges in systems biology and molecular sciences is how to infer regulatory relationships between genes and proteins using high-throughout omics datasets. Although a wide range of methods have been designed to reverse engineer the regulatory networks, recent studies show that the...
Autores principales: | Yan, Yan, Jiang, Feng, Zhang, Xinan, Tian, Tianhai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142129/ https://www.ncbi.nlm.nih.gov/pubmed/35626576 http://dx.doi.org/10.3390/e24050693 |
Ejemplares similares
-
A non-linear reverse-engineering method for inferring genetic regulatory networks
por: Wu, Siyuan, et al.
Publicado: (2020) -
DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation
por: Wei, Jiangyong, et al.
Publicado: (2021) -
A continuous optimization approach for inferring parameters in mathematical models of regulatory networks
por: Deng, Zhimin, et al.
Publicado: (2014) -
A single source k-shortest paths algorithm to infer regulatory pathways in a gene network
por: Shih, Yu-Keng, et al.
Publicado: (2012) -
Probabilistic inference and ranking of gene regulatory pathways as a shortest-path problem
por: Jensen, James D, et al.
Publicado: (2013)