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dc.contributor.author | Rubio Pérez, Carlota, 1990- |
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dc.contributor.author | Tamborero Noguera, David |
dc.contributor.author | Schroeder, Michael Philipp, 1986- |
dc.contributor.author | Antolín Hernández, Albert, 1984- |
dc.contributor.author | Déu Pons, Jordi |
dc.contributor.author | Pérez Llamas, Christian, 1976- |
dc.contributor.author | Mestres i López, Jordi |
dc.contributor.author | González-Pérez, Abel |
dc.contributor.author | López Bigas, Núria |
dc.date | 2015 |
dc.identifier.citation | Rubio-Perez C, Tamborero D, Schroeder MP, Antolín AA, Deu-Pons J, Perez-Llamas C et al. In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities. Cancer Cell. 2015 Mar 9;27(3):382-96. DOI: 10.1016/j.ccell.2015.02.007 |
dc.identifier.citation | 1535-6108 |
dc.identifier.citation | http://dx.doi.org/10.1016/j.ccell.2015.02.007 |
dc.identifier.uri | http://hdl.handle.net/10230/33093 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.relation | Cancer Cell. 2015 Mar 9;27(3):382-96 |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/600388 |
dc.relation | info:eu-repo/grantAgreement/ES/3PN/SAF2012-36199 |
dc.rights | https://www.elsevier.com/about/our-business/policies/open-access-licenses/elsevier-user-license |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | © Elsevier This is the published version of an article http://dx.doi.org/10.1016/j.ccell.2015.02.007 that appeared in the journal Cancer Cell. It is published in an Open Archive under an Elsevier user license. Details of this licence are available here: https://www.elsevier.com/about/our-business/policies/open-access-licenses/elsevier-user-license |
dc.subject | Antineoplastic Agents |
dc.subject | Carcinogenesis/genetics |
dc.subject | Clinical Protocols |
dc.subject | Clinical Trials as Topic |
dc.subject | Cohort Studies |
dc.subject | Computational Biology |
dc.subject | DNA Mutational Analysis |
dc.subject | Drug Repositioning |
dc.subject | Decision Making, Computer-Assisted |
dc.subject | Neoplasms/drug therapy |
dc.subject | Neoplasms/genetics |
dc.subject | Precision Medicine/methods |
dc.title | In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.description.abstract | |
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