VisualMLTCGA: An Easy-to-Use Web Tool for the Visualization, Processing and Classification of Clinical and Genomic TCGA Data

被引：0

作者：

Garin-Muga, Alba ^{[1
,2
]}

Maria Sucre, Aurora ^{[1
,2
]}

Torres, Jordi ^{[1
]}

Kerexeta, Jon ^{[1
]}

机构：

[1] Vicomtech, eHlth & Biomed Applicat Area, Donostia San Sebastian 20014, Spain

[2] eHlth Grp, Biodonostia Bioengn Area, Donostia San Sebastian 20014, Spain

来源：

PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 5: HEALTHINF | 2020年

关键词：

TCGA; Stratification; ML; Visualization; Clinical Data; Genomics; SOMATIC POINT MUTATIONS; CANCER;

D O I：

10.5220/0008951804130420

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The Cancer Genome Atlas (TCGA) is a collection of freely available data of several human cancer types. TCGA contains over 2.5 petabytes of data, which includes, among others, clinical and genomic data. However, the visualization of such data is cumbersome and tiring for non-expert users. VisualMLTCGA is an intuitive and easy-to-use web tool that allows the automatic download and visualization of TCGA data and the processing of genomic data using GATK. Additionally, the tool allows to create comprehensive decision trees (DT) for prediction of outcomes from clinical and genomic TCGA data and other external datasets. VisualMLTCGA offers a simple web tool to download, process and visualize TCGA data, suitable for researchers and clinicians without any bioinformatics background.

引用

页码：413 / 420

页数：8

共 20 条

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