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1 Ergebnisse
1
Identifying intragenic functional modules of genomic variat..:
Minsu Kim
;
Jennifer E. Huffman
;
Amy Justice
...
https://doi.org/10.1186/s12920-022-01298-6. , 2022
Link:
https://doi.org/10.1186/s12920-022-01298-6
RT Journal T1
Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:a212cc619aab486085c607e0384701f3&Exemplar=1&LAN=DE A1 Minsu Kim A1 Jennifer E. Huffman A1 Amy Justice A1 Ian Goethert A1 Greeshma Agasthya A1 VA Million Veteran Program A1 Ioana Danciu PB BMC YR 2022 K1 Genome-wide Association Study K1 Network Representation Learning K1 Machine Learning K1 Internal medicine K1 RC31-1245 K1 Genetics K1 QH426-470 JF https://doi.org/10.1186/s12920-022-01298-6 LK http://dx.doi.org/https://doi.org/10.1186/s12920-022-01298-6 DO https://doi.org/10.1186/s12920-022-01298-6 SF ELIB - SuUB Bremen
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