Dataset Open Access
Zhandos Sembay
{ "description": "<p><strong>ABSTRACT </strong></p>\n\n<p>It contains the data of four omic profiles (CNV, mRNA, miRNA, and protein) obtained for BRCA, LGG, and LUAD obtained from the TCGA project. </p>\n\n<p>In addition, we provide synthetic data for a mixture of isotropic distributions.</p>\n\n<p><strong>Instructions: </strong></p>\n\n<p>Cancer data are identified by cancer type (LGG: low-grade glioma, BRCA: breast cancer, and LUAD: lung cancer). The data are scaled by using the minima and maxima of each column so that the values are between 0 and 1. In these files, the columns are the features and the rows correspond to the patients.</p>\n\n<p>The summary data contains only the numerical values. The columns are the features and the rows are the observations.</p>\n\n<p><strong>Inspiration:</strong></p>\n\n<p>This dataset uploaded to U-BRITE for "AI against CANCER DATA SCIENCE HACKATHON"</p>\n\n<p>https://cancer.ubrite.org/hackathon-2021/</p>\n\n<p><strong>Acknowledgements</strong></p>\n\n<p>Diego Salazar, June 20, 2021, "Pre-processed Cancer multi-omic data from TCGA and synthetic data", IEEE Dataport, doi: https://dx.doi.org/10.21227/pjb8-d090.</p>\n\n<p>https://ieee-dataport.org/documents/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data</p>\n\n<p><strong>U-BRITE last update date:</strong> 07/21/2021</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "@type": "Person", "name": "Zhandos Sembay" } ], "url": "https://zenodo.org/record/5120970", "datePublished": "2021-07-21", "keywords": [ "cancer", "multi-omic" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/daef9ebc-6efc-4798-a7ba-a6dd4bcbef86/DastasetFiles.zip", "encodingFormat": "zip", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.5120970", "@id": "https://doi.org/10.5281/zenodo.5120970", "@type": "Dataset", "name": "Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data" }
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Data volume | 572.5 MB | 572.5 MB |
Unique views | 138 | 138 |
Unique downloads | 16 | 16 |