Biocomputing Platform Module for Cancer Genomics and Chemotherapy

 

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون: Mora Rodríguez, Rodrigo Antonio, Coto Ulate, Juan Carlos, Siles Canales, Francisco
التنسيق: comunicación de congreso
تاريخ النشر:2017
الوصف: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.
البلد:Kérwá
المؤسسة:Universidad de Costa Rica
Repositorio:Kérwá
اللغة:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/102785
الوصول للمادة أونلاين:https://hdl.handle.net/10669/102785
https://doi.org/10.1109/CONCAPAN.2016.7942342
كلمة مفتاحية:Pattern Recognition
Data Processing
Learning Systems
Cancer
Genomics
Biocomputing