Publisher Correction: Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary
Nat Med
.
2024 Feb;30(2):607.
doi: 10.1038/s41591-023-02693-x.
Authors
Intae Moon
1
2
,
Jaclyn LoPiccolo
3
,
Sylvan C Baca
3
4
,
Lynette M Sholl
5
,
Kenneth L Kehl
2
,
Michael J Hassett
2
,
David Liu
2
3
6
,
Deborah Schrag
7
,
Alexander Gusev
8
9
10
Affiliations
1
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
2
Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
3
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
4
Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
5
Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
6
The Broad Institute of MIT & Harvard, Cambridge, MA, USA.
7
Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
8
Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA. alexander_gusev@dfci.harvard.edu.
9
The Broad Institute of MIT & Harvard, Cambridge, MA, USA. alexander_gusev@dfci.harvard.edu.
10
Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. alexander_gusev@dfci.harvard.edu.
PMID:
37968374
DOI:
10.1038/s41591-023-02693-x
No abstract available
Publication types
Published Erratum
Grants and funding
T32 CA009172/CA/NCI NIH HHS/United States