Document Type
Article
Publication Date
12-1-2022
Original Citation
Capobianco E.
Overview of triple negative breast cancer prognostic signatures in the context of data science-driven clinico-genomics research. Ann Transl Med. 2022;10(24):1300.
Keywords
SS1, JGM
JAX Source
Ann Transl Med. 2022;10(24):1300.
ISSN
2305-5839
PMID
36660729
DOI
https://doi.org/10.21037/atm-22-5477
Grant
The author acknowledges support from JAX Computational Sciences, JAX Cancer Center (JAXCC) and NCI CCSG (P30CA034196) and support from grant NSF 19-500, DMS 1918925/1922843.
COinS
Comments
This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non- commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.