Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Radmila Kompova"'
Recommendations for the FAIRification of genomic track metadata [version 1; peer review: 2 approved]
Autor:
Sveinung Gundersen, Sanjay Boddu, Salvador Capella-Gutierrez, Finn Drabløs, José M. Fernández, Radmila Kompova, Kieron Taylor, Dmytro Titov, Daniel Zerbino, Eivind Hovig
Publikováno v:
F1000Research, Vol 10 (2021)
Background: Many types of data from genomic analyses can be represented as genomic tracks, i.e. features linked to the genomic coordinates of a reference genome. Examples of such data are epigenetic DNA methylation data, ChIP-seq peaks, germline or s
Externí odkaz:
https://doaj.org/article/776b1772122046bbb4915a62dc7b0e16
Autor:
Chakravarthi Kanduri, Alexandre Almeida Costa, Eivind Hovig, Antonio Martini, Michael Widrich, Ghadi S. Al Hajj, Ingrid Hobæk Haff, Ivar Grytten, Radmila Kompova, Andrei Slabodkin, Cédric R. Weber, Ludvig M. Sollid, Gabriel Balaban, Knut Dagestad Rand, Fabian L. M. Bernal, Victor Greiff, Gur Yaari, Marieke L. Kuijjer, Artur Rocha, Enrico Riccardi, Knut Waagan, Brian Corrie, Igor Snapkov, Lonneke Scheffer, Nikolay Vazov, Milena Pavlović, Robert Frank, Dmytro Titov, Maria Chernigovskaya, Johan Pensar, Rahmad Akbar, Todd M. Brusko, Scott Christley, Keshav Motwani, Geir Kjetil Sandve, Philippe Robert, Thomas Minotto, Ping-Han Hsieh, Sveinung Gundersen, Christin Lund-Andersen, Lindsay G. Cowell, Günter Klambauer
Publikováno v:
Nat Mach Intell
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65225dec4d5ad9e94648449a645b13a2
https://europepmc.org/articles/PMC10312379/
https://europepmc.org/articles/PMC10312379/
Autor:
Eivind Hovig, Daniel R. Zerbino, José M. Fernández, Sveinung Gundersen, Salvador Capella-Gutierrez, Sanjay Boddu, Dmytro Titov, Radmila Kompova, Kieron Taylor, Finn Drabløs
Publikováno v:
F1000Research
F1000 Research
F1000 Research
Background: Many types of data from genomic analyses can be represented as genomic tracks, i.e. features linked to the genomic coordinates of a reference genome. Examples of such data are epigenetic DNA methylation data, ChIP-seq peaks, germline or s
Autor:
Knut Waagan, Brian Corrie, Chakravarthi Kanduri, Victor Greiff, Artur Rocha, Antonio Martini, Lonneke Scheffer, Alexandre Almeida Costa, Gabriel Balaban, Ingrid Hobæk Haff, Christin Lund-Andersen, Sepp Hochreiter, Fabian L. M. Bernal, Lindsay G. Cowell, Cédric R. Weber, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Keshav Motwani, Ghadi S. Al Hajj, Knut Dagestad Rand, Johan Pensar, Igor Snapkov, Günter Klambauer, Milena Pavlović, Eivind Hovig, Robert Frank, Gur Yaari, Ping-Han Hsieh, Dmytro Titov, Enrico Riccardi, Ivar Grytten, Andrei Slabodkin, Rahmad Akbar, Sveinung Gundersen, Nikolay Vazov, Philippe Robert, Thomas Minotto, Ludvig M. Sollid, Marieke L. Kuijjer, Radmila Kompova, Michael Widrich, Geir Kjetil Sandve
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb6d82b64efdaa4a6187b0a23954ca5d
https://doi.org/10.1101/2021.03.08.433891
https://doi.org/10.1101/2021.03.08.433891