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A noise-aware method for building radiation hybrid maps:
, In:
Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Seetan, Raed I.
;
Denton, Anne M.
;
Al-Azzam, Omar
... - p. 541-550 , 2014
Link:
https://dl.acm.org/doi/10.1145/2649387.2649443
RT T1 <cTitle>Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>A noise-aware method for building radiation hybrid maps</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2649443&Exemplar=1&LAN=DE A1 Seetan, Raed I. A1 Denton, Anne M. A1 Al-Azzam, Omar A1 Kumar, Ajay A1 Iqbal, M. Javed A1 Kianian, Shahryar F. PB ACM YR 2014 K1 bioinformatics K1 clustering K1 data mining K1 high-resolution maps K1 noisy datasets K1 radiation hybrid mapping K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification SP 541 OP 550 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2649387.2649443 DO https://dl.acm.org/doi/10.1145/2649387.2649443 SF ELIB - SuUB Bremen
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