Fig. 1
From: De novo identification of expressed cancer somatic mutations from single-cell RNA sequencing data
RESA workflow. a Step1 is an initial variant call using two aligners and two mutation calling algorithms. b RESA: Variants calling then goes through a series of filtering and labeling, categorizing into a confident set of positive somatic variants and artefacts, and a set of unsure SNVs to refine. c RESA-jLR: The confident set of variants is used to build a joint logistic regression model, where the model is applied to make predictions in the unsure set of SNVs to refine and expand the final positive set of somatic SNVs. d the detailed workflow of RESA