Integration of whole genome data with machine learning technology in breast cancer subtyping

Weronika Majer-Burman; Klaudia Pacewicz; Maciej Meler; Michał Gniot; Dawid Sielski; Maciej Piernik; Paweł Sztromwasser; Alicja Woźna; Paweł Zawadzki

doi:10.1016/j.annonc.2022.03.030

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Title

Integration of whole genome data with machine learning technology in breast cancer subtyping

Authors

Weronika Majer-Burman
Klaudia Pacewicz
Maciej Meler (WIiT) ^{[ 1 ][ S ]}
Michał Gniot
Dawid Sielski
Maciej Piernik (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Paweł Sztromwasser
Alicja Woźna
Paweł Zawadzki

^{[ 1 ]} Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ S ]} student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Published in

Annals of Oncology

Journal year: 2022 | Journal volume: vol. 33 | Journal number: supp. 3

Article type

abstract

Publication language

english

Pages (from - to)

S130 - S130

DOI

10.1016/j.annonc.2022.03.030

URL

https://www.annalsofoncology.org/article/S0923-7534(22)00409-4/fulltext

Comments

Article 15P

Presented on

ESMO Breast Cancer 2022, 3-5.05.2022, Berlin, Germany

Impact Factor

50,5

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