SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies

^*Corresponding author for this work

Research output: Working paper/Preprint › Preprint

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

@techreport{12923877ab05449ab808ce72670c0e60,

title = "SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies",

keywords = "mutational signatures, cancer, dna repair, dna damage response, machine learning, non-negative matrix factorization (NMF)",

author = "A.C.H. Goossens and Y.I. Tepeli and C.F. Seale and {P. Gon{\c c}alves}, Joana",

year = "2024",

month = nov,

day = "28",

doi = "10.1101/2024.11.27.624656",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies

AU - Goossens, A.C.H.

AU - Tepeli, Y.I.

AU - Seale, C.F.

AU - P. Gonçalves, Joana

PY - 2024/11/28

Y1 - 2024/11/28

KW - mutational signatures

KW - cancer

KW - dna repair

KW - dna damage response

KW - machine learning

KW - non-negative matrix factorization (NMF)

U2 - 10.1101/2024.11.27.624656

DO - 10.1101/2024.11.27.624656

M3 - Preprint

BT - SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies

ER -