Probabilistic mixture models improve calibration of panel-derived tumor mutational burden in the context of both tumor-normal and tumor-only sequencing
Jordan Anaya, John-William Sidhom, Craig A. Cummings, Alexander Spyridon Baras
This paper introduces probabilistic mixture models to calibrate panel-derived tumor mutational burden (TMB) to exomic TMB, showing improved accuracy over linear regression.
Cancer Research Communications · Feb 24, 2023Peer-reviewedBioinformatics