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

@Article {
title = {VisualMLTCGA: An Easy-to-Use Web Tool for the Visualization, Processing and Classification of Clinical and Genomic TCGA Data},
keywds = {
TCGA, Stratification, ML, Visualization, Clinical Data, Genomics
}
abstract = {

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.

}
isbn = {978-989758398-8},
date = {2020-02-24},
}