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On parallelizing graph theoretical approaches for identifyi..:
, In:
Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
,
Devasia, Jeethu V.
;
Chandran, Priya
;
Shreya, Garge
.. - p. 1-6 , 2017
Link:
https://dl.acm.org/doi/10.1145/3018896.3056793
RT T1 <cTitle>Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing</cTitle>: T1 <Title>On parallelizing graph theoretical approaches for identifying causal genes and pathways from very large biological networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3056793&Exemplar=1&LAN=DE A1 Devasia, Jeethu V. A1 Chandran, Priya A1 Shreya, Garge A1 R., Aparna A1 R., Abijith PB ACM YR 2017 K1 causal genes K1 dysregulated pathways K1 mapreduce K1 molecular interaction networks K1 parallelization K1 Computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms K1 MapReduce algorithms K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Computational biology K1 Recognition of genes and regulatory elements SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3018896.3056793 DO https://dl.acm.org/doi/10.1145/3018896.3056793 SF ELIB - SuUB Bremen
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