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de Teresa-Trueba, Irene, Goetz, Sara K., Mattausch, Alexander, Stojanovska, Frosina, Zimmerli, Christian E., Toro-Nahuelpan, Mauricio, Cheng, Dorothy W. C., Tollervey, Fergus, Pape, Constantin, Beck, Martin, Diz-Muñoz, Alba, Kreshuk, Anna, Mahamid, Julia, Zaugg, Judith B. (2023) Convolutional networks for supervised mining of molecular patterns within cellular context. Nature Methods, 20 (2) 284-294 doi:10.1038/s41592-022-01746-2

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Reference TypeJournal (article/letter/editorial)
TitleConvolutional networks for supervised mining of molecular patterns within cellular context
JournalNature Methods
Authorsde Teresa-Trueba, IreneAuthor
Goetz, Sara K.Author
Mattausch, AlexanderAuthor
Stojanovska, FrosinaAuthor
Zimmerli, Christian E.Author
Toro-Nahuelpan, MauricioAuthor
Cheng, Dorothy W. C.Author
Tollervey, FergusAuthor
Pape, ConstantinAuthor
Beck, MartinAuthor
Diz-Muñoz, AlbaAuthor
Kreshuk, AnnaAuthor
Mahamid, JuliaAuthor
Zaugg, Judith B.Author
Year2023 (February)Volume20
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41592-022-01746-2Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15695813Long-form Identifiermindat:1:5:15695813:6
GUID0
Full Referencede Teresa-Trueba, Irene, Goetz, Sara K., Mattausch, Alexander, Stojanovska, Frosina, Zimmerli, Christian E., Toro-Nahuelpan, Mauricio, Cheng, Dorothy W. C., Tollervey, Fergus, Pape, Constantin, Beck, Martin, Diz-Muñoz, Alba, Kreshuk, Anna, Mahamid, Julia, Zaugg, Judith B. (2023) Convolutional networks for supervised mining of molecular patterns within cellular context. Nature Methods, 20 (2) 284-294 doi:10.1038/s41592-022-01746-2
Plain Textde Teresa-Trueba, Irene, Goetz, Sara K., Mattausch, Alexander, Stojanovska, Frosina, Zimmerli, Christian E., Toro-Nahuelpan, Mauricio, Cheng, Dorothy W. C., Tollervey, Fergus, Pape, Constantin, Beck, Martin, Diz-Muñoz, Alba, Kreshuk, Anna, Mahamid, Julia, Zaugg, Judith B. (2023) Convolutional networks for supervised mining of molecular patterns within cellular context. Nature Methods, 20 (2) 284-294 doi:10.1038/s41592-022-01746-2
In(2023, February) Nature Methods Vol. 20 (2) Springer Science and Business Media LLC

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