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Rfcaller: a machine Learning approach combined with read-level features to detect somatic mutations
| dc.contributor.author | Díaz Navarro, Ander | |
| dc.contributor.author | Bousquets Muñoz, Pablo | |
| dc.contributor.author | Nadeu, F. | |
| dc.contributor.author | López Tamargo, Sara | |
| dc.contributor.author | Beà, S. | |
| dc.contributor.author | Campo, E. | |
| dc.contributor.author | Suárez Puente, Xosé Antón | |
| dc.date.accessioned | 2024-01-16T07:21:10Z | |
| dc.date.available | 2024-01-16T07:21:10Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Nar Genomics and Bioinformatics, 5(2), (2023); doi:10.1093/nargab/lqad056 | |
| dc.identifier.issn | 2631-9268 | |
| dc.identifier.uri | https://hdl.handle.net/10651/70675 | |
| dc.description.sponsorship | Ministerio de Ciencia e Innovaci on [SAF2017-87811-R, PID2020-117185RB-I00]; Fundación científica Asociacion española Contra el Cancer (AECC); Centro de investigación Biomedica en Red de Cancer (CIBERONC); Instituto de Salud Carlos III; European Union (ERDF/ESF, Investing in your future') [PMP15/00007, PI17/01061]; La Caixa' Foundation CLLEvolution [HR17-00221]; Ministerio de Economía y Competitividad (MINECO) [RTI2018-094274-B-I00]; Generalitat de Catalunya AGAUR [2021-SGR-01293, 2017-SGR-1142]; Department of Education of the Basque Government [PRE 2017 1 0100]; Asturian Government; 2021 AACR-Amgen Fellowship in Clinical/Translational Cancer Research [21-40-11-NADE]; European Hematology Association (EHA) Junior Research Gran [RG-202012-00245]; Lady Tata Memorial Trust [LADY TATA 21 3223] | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Nar Genomics and Bioinformatics | |
| dc.rights | © The Author(s) 2023 | |
| dc.rights | CC Reconocimiento 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161979085&doi=10.1093%2fnargab%2flqad056&partnerID=40&md5=b4b9ca2202695540a96667158e361e73 | |
| dc.title | Rfcaller: a machine Learning approach combined with read-level features to detect somatic mutations | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1093/nargab/lqad056 | |
| dc.relation.projectID | PID2020-117185RB-I00 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1093/nargab/lqad056 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | VoR |
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