Published on 23 October 2020
RNA sequencing dataset for prediction of liver hepatocellular carcinoma using SIMON analysis
View DatasetTomic, Adriana
Description
The LIHC dataset was used for data mining and for the generation of machine learning model for the detection of liver hepatocellular carcinoma cells (LIHC) using the SIMON platform as described in the "SIMON: open-source knowledge discovery platform" publication (https://doi.org/10.1101/2020.08.16.252767). The LIHC dataset was obtained from the GSEABenchmarkeR package ( https://doi.org/10.1093/bib/bbz158) and it contains RNA expression data from 374 liver hepatocellular carcinoma (LIHC) cells and 50 adjacent normal cells.
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Publication Details
Subfield
Pulmonary and Respiratory Medicine
Field
Medicine
Domain
Health Sciences
Confidence Score
62%
Source
Open Alex
Keywords
transcriptome, cancer, data mining, machine learning