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R.ROSETTA : an interpretable machine learning framework:
Garbulowski, Mateusz
;
Diamanti, Klev
;
Smolinska, Karolina
...
BMC Bioinformatics, 2021, 22:1,. , 2021
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441701
RT Journal T1
R.ROSETTA : an interpretable machine learning framework
UL https://suche.suub.uni-bremen.de/peid=base-ftuppsalauniv:oai:DiVA.org:uu-441701&Exemplar=1&LAN=DE A1 Garbulowski, Mateusz A1 Diamanti, Klev A1 Smolinska, Karolina A1 Baltzer, Nicholas A1 Stoll, Patricia A1 Bornelöv, Susanne A1 Øhrn, Aleksander A1 Feuk, Lars A1 Komorowski, Jan PB Uppsala universitet, Beräkningsbiologi och bioinformatik; Uppsala universitet, Medicinsk genetik och genomik; Uppsala universitet, Institutionen för cell- och molekylärbiologi; Uppsala universitet, Kollegiet för avancerade studier (SCAS); Canc Registry Norway, Dept Res, Oslo, Norway; Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, Zurich, Switzerland; Univ Cambridge, Canc Res UK Cambridge Inst, Cambridge, England; Univ Oslo, Dept Informat, Oslo, Norway; Polish Acad Sci, Inst Comp Sci, Warsaw, Poland; Washington Natl Primate Res Ctr, Seattle, WA USA YR 2021 K1 Transcriptomics K1 Interpretable machine learning K1 Big data K1 Rough sets K1 Rule-based classification K1 R package K1 Bioinformatics (Computational Biology) K1 Bioinformatik (beräkningsbiologi) JF BMC Bioinformatics, 2021, 22:1, LK http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441701 DO http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441701 SF ELIB - SuUB Bremen
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