scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/ShiZ11 |
P6179 | Dimensions Publication ID | 1047965046 |
P356 | DOI | 10.1186/1471-2105-12-149 |
P724 | Internet Archive ID | pubmed-PMC3115853 |
P932 | PMC publication ID | 3115853 |
P698 | PubMed publication ID | 21569426 |
P5875 | ResearchGate publication ID | 51124013 |
P2093 | author name string | Bing Zhang | |
Zhiao Shi | |||
P2860 | cites work | CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment | Q21284191 |
Emergence of Scaling in Random Networks | Q27037290 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
Exploiting graphics processing units for computational biology and bioinformatics | Q30495720 | ||
How to identify essential genes from molecular networks? | Q33509914 | ||
The gputools package enables GPU computing in R | Q33551806 | ||
Co-expression module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression | Q33589384 | ||
GPU computing for systems biology | Q37704836 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P921 | main subject | centrality | Q5062194 |
network centrality | Q128337770 | ||
P304 | page(s) | 149 | |
P577 | publication date | 2011-05-12 | |
P13046 | publication type of scholarly work | review article | Q7318358 |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Fast network centrality analysis using GPUs | |
P478 | volume | 12 |
Q110950411 | A GPU-based solution for fast calculation of the betweenness centrality in large weighted networks |
Q57727497 | A survey of graph processing on graphics processing units |
Q35545222 | FastGCN: a GPU accelerated tool for fast gene co-expression networks |
Q35743304 | Unravelling personalized dysfunctional gene network of complex diseases based on differential network model |
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