Cargando…
Accelerated parallel algorithm for gene network reverse engineering
BACKGROUND: The Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE) represents one of the most effective tools to reconstruct gene regulatory networks from large-scale molecular profile datasets. However, previous implementations require intensive computing resources and, in some...
Autores principales: | He, Jing, Zhou, Zhou, Reed, Michael, Califano, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615246/ https://www.ncbi.nlm.nih.gov/pubmed/28950860 http://dx.doi.org/10.1186/s12918-017-0458-5 |
Ejemplares similares
-
A Parallel Implementation of the Network Identification by Multiple Regression (NIR) Algorithm to Reverse-Engineer Regulatory Gene Networks
por: Gregoretti, Francesco, et al.
Publicado: (2010) -
Reverse engineering a gene network using an asynchronous parallel evolution strategy
por: Jostins, Luke, et al.
Publicado: (2010) -
ARACNe-AP: gene network reverse engineering through adaptive partitioning inference of mutual information
por: Lachmann, Alexander, et al.
Publicado: (2016) -
SJARACNe: a scalable software tool for gene network reverse engineering from big data
por: Khatamian, Alireza, et al.
Publicado: (2019) -
An efficient parallel algorithm for accelerating computational protein design
por: Zhou, Yichao, et al.
Publicado: (2014)