Additional file 1 of Predicting cancer type from tumour DNA signatures

Soh, Kee Pang;Szczurek, Ewa;Sakoparnig, Thomas;Beerenwinkel, Niko

Description

Shown are 50 genes selected via stability selection. A list of 50 genes that are most frequently ranked highly by SVM-RFE, their brief descriptions and whether they have been identified as cancer driver genes. (XLSX 24 kb)

Citations (0)

No citations found

It looks like this dataset has no citations.

Mentions (0)

No mentions found

It looks like this dataset has not been mentioned in any sources.

Metrics

Dataset Index

1.0

FAIR Score

85%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.6084/m9.figshare.5643439.v1

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Cancer Research

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

60%

Source

Scholar Data Model

Keywords

Cell BiologyGeneticsFOS: Biological sciencesMolecular BiologyEvolutionary Biology69999 Biological Sciences not elsewhere classified80699 Information Systems not elsewhere classifiedFOS: Computer and information sciences19999 Mathematical Sciences not elsewhere classifiedFOS: MathematicsDevelopmental BiologyMarine BiologyCancer110309 Infectious DiseasesFOS: Health sciencesPlant Biology60506 VirologyComputational Biology

Normalization Factors

40.38

CTw

1.00

MTw

1.00