Biocomputing Platform Module for Cancer Genomics and Chemotherapy

 

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Detalhes bibliográficos
Autores: Mora Rodríguez, Rodrigo Antonio, Coto Ulate, Juan Carlos, Siles Canales, Francisco
Formato: comunicación de congreso
Data de Publicação:2017
Descrição:In 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.
País:Kérwá
Recursos:Universidad de Costa Rica
Repositorio:Kérwá
Idioma:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/102785
Acesso em linha:https://hdl.handle.net/10669/102785
https://doi.org/10.1109/CONCAPAN.2016.7942342
Palavra-chave:Pattern Recognition
Data Processing
Learning Systems
Cancer
Genomics
Biocomputing