Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/184089
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Decamps, Clémentine | - |
dc.contributor.author | Arnaud, Alexis | - |
dc.contributor.author | Petitprez, Florent | - |
dc.contributor.author | Ayadi, Mira | - |
dc.contributor.author | Baurès, Aurélia | - |
dc.contributor.author | Armenoult, Lucile | - |
dc.contributor.author | Escalera Guerrero, Sergio | - |
dc.contributor.author | Guyon, Isabelle | - |
dc.contributor.author | Nicolle, Rémy | - |
dc.contributor.author | Tomasini, Richard | - |
dc.contributor.author | Reyniès, Aurélien de | - |
dc.contributor.author | Cros, Jérôme | - |
dc.contributor.author | Blum, Yuna | - |
dc.contributor.author | Richard, Magali | - |
dc.date.accessioned | 2022-03-14T09:36:21Z | - |
dc.date.available | 2022-03-14T09:36:21Z | - |
dc.date.issued | 2021-10-02 | - |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | http://hdl.handle.net/2445/184089 | - |
dc.description.abstract | Quantifcation of tumor heterogeneity is essential to better understand cancer progression and to adapt therapeutic treatments to patient specifcities. Bioinformatic tools to assess the diferent cell populations from single-omic datasets as bulk transcriptome or methylome samples have been recently developed, including reference-based and reference-free methods. Improved methods using multi-omic datasets are yet to be developed in the future and the community would need systematic tools to perform a comparative evaluation of these algorithms on controlled data. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | BioMed Central | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1186/s12859-021-04381-4 | - |
dc.relation.ispartof | BMC Bioinformatics, 2021, vol. 2021, num. 22 | - |
dc.relation.uri | https://doi.org/10.1186/s12859-021-04381-4 | - |
dc.rights | cc-by (c) Decamps, Clémentine et al., 2021 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (Matemàtiques i Informàtica) | - |
dc.subject.classification | Càncer | - |
dc.subject.classification | Classificació de tumors | - |
dc.subject.classification | Algorismes computacionals | - |
dc.subject.other | Cancer | - |
dc.subject.other | Tumors classification | - |
dc.subject.other | Computer algorithms | - |
dc.title | DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 714544 | - |
dc.date.updated | 2022-03-14T09:36:22Z | - |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/826121/EU//iPC | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Matemàtiques i Informàtica) Publicacions de projectes de recerca finançats per la UE |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
714544.pdf | 2.22 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License