Inference of mutational signature activity in individual tumors

DL David Liu
PA Philip Abbosh
DK Daniel Keliher
BR Brendan Reardon
DM Diana Miao
KM Kent Mouw
AW Amaro Weiner-Taylor
SW Stephanie Wankowicz
GH Garam Han
MT Min Yuen Teo
CC Catharine Cipolla
JK Jaegil Kim
GI Gopa Iyer
HA Hikmat Al-Ahmadie
ED Essel Dulaimi
DC David Y. T. Chen
RA R. Katherine Alpaugh
JH Jean Hoffman-Censits
LG Levi A. Garraway
GG Gad Getz
SC Scott L. Carter
JB Joaquim Bellmunt
EP Elizabeth R. Plimack
JR Jonathan E. Rosenberg
EA Eliezer M. Van Allen
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Given a set of mutational signatures, inferring the activity of each mutational signature within individual tumors was performed by modifying the NMF multiplicative update process15,58. We randomly initialize a starting activity matrix H0 and update Hi to Hi+1 via the multiplicative update rule given for H15. W remains fixed and so is not updated. We keep track of the Frobenius norm of the error given by V-WHi at each iteration. We terminated the update process when error vs. iterations demonstrated horizontal asymptomatic behavior, which we defined as when 1/20 of the difference of the error between V-WHi-20 and V-WHi is below a given threshold (0.0001). The resulting matrix Hi is a good representation of the activity of the signatures in W.

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