Biocomputing Platform Module for Cancer Genomics and Chemotherapy

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Mora Rodríguez, Rodrigo Antonio, Coto Ulate, Juan Carlos, Siles Canales, Francisco
Định dạng: comunicación de congreso
Ngày xuất bản:2017
Miêu tả: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.
Quốc gia:Kérwá
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Kérwá
Ngôn ngữ:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/102785
Truy cập trực tuyến:https://hdl.handle.net/10669/102785
https://doi.org/10.1109/CONCAPAN.2016.7942342
Từ khóa:Pattern Recognition
Data Processing
Learning Systems
Cancer
Genomics
Biocomputing