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Biocomputing Platform Module for Cancer Genomics and Chemotherapy

dc.creatorMora Rodríguez, Rodrigo Antonio
dc.creatorCoto Ulate, Juan Carlos
dc.creatorSiles Canales, Francisco
dc.date.accessioned2025-09-04T15:22:04Z
dc.date.issued2017-06-08
dc.description.abstractIn this paper, we present a biocomputational platform module for the representation and analysis of the response of cancer cell lines to diverse chemotherapeutic compounds based on their gene profile. This system, currently in active development, involves integration of gene profile data into a data repository, a broad array of visualizations based on a widely-used data analysis tool set and batched analysis of the entirety of gene profile and chemotherapeutic data using several regression and unsupervised clustering models. A description of the processing carried out by the system and results from exploratory data analysis, simple modeling and more complex clustering are presented.
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Enfermedades Tropicales (CIET)
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ingeniería Eléctrica
dc.description.sponsorshipVicerrectoría de Investigación de la UCR/[]/UCR/Costa Rica
dc.identifier.doihttps://doi.org/10.1109/CONCAPAN.2016.7942342
dc.identifier.isbn978-1-4673-9578-6
dc.identifier.urihttps://hdl.handle.net/10669/102785
dc.language.isoeng
dc.rightsacceso restringido
dc.sourceIEEE Xplore, 1-6
dc.subjectPattern Recognition
dc.subjectData Processing
dc.subjectLearning Systems
dc.subjectCancer
dc.subjectGenomics
dc.subjectBiocomputing
dc.titleBiocomputing Platform Module for Cancer Genomics and Chemotherapy
dc.typecomunicación de congreso

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