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Formulating a method to analyse the differential expression..:
, In:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
,
Gadhia, Nandini Amit
;
Smyrnakis, Michalis
;
Liu, Po-Yu
... - p. 1-6 , 2023
Link:
https://dl.acm.org/doi/10.1145/3584371.3612969
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612969&Exemplar=1&LAN=DE A1 Gadhia, Nandini Amit A1 Smyrnakis, Michalis A1 Liu, Po-Yu A1 Blake, Damer A1 Hay, Melanie A1 Nguyen, Anh A1 Xia, Dong A1 Krishna, Ritesh A1 Richards, Dominic PB ACM YR 2023 K1 bioinformatics K1 microbiome K1 16S K1 network K1 graph K1 workflow K1 omics K1 eimeria K1 co-occurences K1 bootstrapping K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Computational genomics K1 Biological networks K1 Genetics K1 Transcriptomics SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3584371.3612969 DO https://dl.acm.org/doi/10.1145/3584371.3612969 SF ELIB - SuUB Bremen
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