Published on 23 October 2020

RNA sequencing dataset for prediction of liver hepatocellular carcinoma using SIMON analysis

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Tomic, 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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Pulmonary and Respiratory Medicine

Field

Medicine

Domain

Health Sciences

Confidence Score

62%

Source

Open Alex

Keywords

transcriptome, cancer, data mining, machine learning

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00