841117
doi
10.5281/zenodo.841117
oai:zenodo.org:841117
user-precise
user-eu
Beal, Jonas
Institut Curie, PSL Research University, Mines Paris Tech
Tobalina, Luis
RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine
Barillot, Emmanuel
Institut Curie, PSL Research University, Mines Paris Tech
Saez-Rodriguez, Julio
RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine / European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus
Calzone, Laurence
Institut Curie, PSL Research University, Mines Paris Tech
Incorporating patient-specific molecular data into a logic model of prostate cancer
Traynard, Pauline
Institut Curie, PSL Research University, Mines Paris Tech
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
<p>The aim of this work is to build Boolean models to simulate specifically prostate cancer in individual patients or clones. That way, we seek to understand by which means the cells become cancerous and propose appropriate drug interventions to personally treat the patient.</p>
Zenodo
2017-08-10
info:eu-repo/semantics/conferencePoster
841116
user-precise
user-eu
award_title=PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION; award_number=668858; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/668858; funder_id=00k4n6c32; funder_name=European Commission;
1579542287.806351
748107
md5:f697a1161e211c1f189b771c8d49712e
https://zenodo.org/records/841117/files/20170721_poster_ISMB2017_Prague_CI.pdf
public
10.5281/zenodo.841116
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doi