Cargando…
Transcription network construction for large-scale microarray datasets using a high-performance computing approach
BACKGROUND: The advance in high-throughput genomic technologies including microarrays has demonstrated the potential of generating a tremendous amount of gene expression data for the entire genome. Deciphering transcriptional networks that convey information on intracluster correlations and interclu...
Autores principales: | Zhu, Mengxia (Michelle), Wu, Qishi |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386070/ https://www.ncbi.nlm.nih.gov/pubmed/18366618 http://dx.doi.org/10.1186/1471-2164-9-S1-S5 |
Ejemplares similares
-
Boolean implication networks derived from large scale, whole genome microarray datasets
por: Sahoo, Debashis, et al.
Publicado: (2008) -
Query Large Scale Microarray Compendium Datasets Using a Model-Based Bayesian Approach with Variable Selection
por: Hu, Ming, et al.
Publicado: (2009) -
Construction, Visualisation, and Clustering of Transcription Networks from Microarray Expression Data
por: Freeman, Tom C, et al.
Publicado: (2007) -
Deep learning and convolutional neural networks for medical image computing: precision medicine, high performance and large-scale datasets
por: Lu, Le, et al.
Publicado: (2017) -
Identifying the potential transcriptional regulatory network in Hirschsprung disease by integrated analysis of microarray datasets
por: Xu, Wenyao, et al.
Publicado: (2023)