Essentiality, protein–protein interactions and evolutionary properties are key predictors for identifying cancer-associated genes using machine learning
Crossref DOI link: https://doi.org/10.1038/s41598-023-44118-2
Published Online: 2024-04-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Safadi, Amro
Lovell, Simon C.
Doig, Andrew J.
Text and Data Mining valid from 2024-04-22
Version of Record valid from 2024-04-22
Article History
Received: 25 April 2023
Accepted: 4 October 2023
First Online: 22 April 2024
Competing interests
: The authors declare no competing interests.