Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., Aukerman, A., Pasha, A., Rose, D., Selenica, P., Causa Andrieu, P. I., Fong, C., Capanu, M., Reis-Filho, J. S., Vanguri, R., … Shah, S. P. (2022). Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer. Nature Cancer, 3(6), 723–733. https://doi.org/10.1038/s43018-022-00388-9
Authors:
Kevin M. Boehm
Ignacio Vazquez-Garcia
Druv Patel
Andrew Aukerman
Arfath Pasha
Doori Rose
Chris Fong
Rami Vanguri
Samantha Leung
Andrew McPherson
JianJiong Gao
Sohrab P. Shah
Emily A. Aherne
Ines Nikolovski
Pamela I. Causa Andrieu
Natalie Gangai
Ramon Sosa
Yulia Lakhman
Lora Ellenson
Mohammed Alghamdi
Dmitriy Zamarin
Ying Liu
Kara Long Roche
Pier Selenica
Jorge S. Reis-Filho
Marinela Capanu
Harini Veeraraghavan
Affiliated Authors:
Ignacio Vazquez-Garcia
Columbia Affiliation:
Publication Type:
Article
Unique ID:
10.1038/s43018-022-00388-9
PMID:
Journal:
Publication Date:
Data Source:
Web of Science

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