Stefan Groha

The paper introduces ResidPCA, a method for identifying cell states in single-cell RNA and ATAC sequencing data, showing improved accuracy over existing methods in both simulated and real datasets.

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

The paper introduces CWAS, a method linking genetic variation to chromatin states, identifying novel prostate cancer risk loci and regulatory mechanisms not detectable by eQTLs.

This study identifies three germline variants associated with immune-related adverse events in patients treated with immune checkpoint inhibitors.

The paper demonstrates that discarded tumor sequencing reads can be used to impute germline genotypes, enabling the construction of large germline research cohorts from existing clinical data.

This paper introduces SBT, a software platform that extracts omics features from clinical tumor sequencing data, identifying prognostic biomarkers in lung, breast, and colorectal cancers.