Fig. 1: Overview of the TCR RFU workflow. | npj Precision Oncology

Fig. 1: Overview of the TCR RFU workflow.

From: Circulating T-cell receptor repertoire for cancer early detection

Fig. 1

(1) TCR β chain of circulating T cells from blood buffy coats is deeply sequenced using an NGS-based assay. (2) Filtered TCRs are clustered into repertoire functional units (RFU) using sequence similarity as the distance metric. (3) A generalized linear regression model is applied to each RFU to discover RFUs that are individually associated with cancer status after accounting for demographic and technical covariates. (4) Significantly cancer-associated RFUs are used jointly to train a machine learning model to predict cancer status. Figure created in part using BioRender.com.

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