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1 Ergebnisse
1
A Bayesian Approach to Determine the Composition of Heterog..:
, In:
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics
,
Katiyar, Ashish
;
Mohanty, Anwoy
;
Sima, Chao
... - p. 773-774 , 2017
Link:
https://dl.acm.org/doi/10.1145/3107411.3110410
RT T1 <cTitle>Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics</cTitle>: T1 <Title>A Bayesian Approach to Determine the Composition of Heterogeneous Cancer Tissue</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3110410&Exemplar=1&LAN=DE A1 Katiyar, Ashish A1 Mohanty, Anwoy A1 Sima, Chao A1 Hua, Jianping A1 Lopes, Rosana A1 Datta, Aniruddha A1 Bittner, Michael L. PB ACM YR 2017 K1 Bayesian modeling K1 cancer tissue heterogeneity K1 kernel density estimation K1 metropolis K1 Applied computing K1 Life and medical sciences K1 Bioinformatics SP 773 OP 774 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3107411.3110410 DO https://dl.acm.org/doi/10.1145/3107411.3110410 SF ELIB - SuUB Bremen
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