Cargando…
A GPU-accelerated algorithm for biclustering analysis and detection of condition-dependent coexpression network modules
In the analysis of large-scale gene expression data, it is important to identify groups of genes with common expression patterns under certain conditions. Many biclustering algorithms have been developed to address this problem. However, comprehensive discovery of functionally coherent biclusters fr...
Autores principales: | Bhattacharya, Anindya, Cui, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482832/ https://www.ncbi.nlm.nih.gov/pubmed/28646174 http://dx.doi.org/10.1038/s41598-017-04070-4 |
Ejemplares similares
-
Differential co-expression framework to quantify goodness of biclusters and compare biclustering algorithms
por: Chia, Burton Kuan Hui, et al.
Publicado: (2010) -
GPU acceleration of the ATLAS calorimeter clustering algorithm
por: Dos Santos Fernandes, Nuno
Publicado: (2022) -
GPU-Accelerated RDP Algorithm for Data Segmentation
por: Cebrian, Pau, et al.
Publicado: (2020) -
GPU accelerated biochemical network simulation
por: Zhou, Yanxiang, et al.
Publicado: (2011) -
Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm
por: Mei, Gang
Publicado: (2014)