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IdentifiHR is a predictive machine learning model of homologous recombination (HR) status in high-grade serous ovarian carcinoma (HGSC) that uses only gene expression. IdentifiHR can be run on a single sample or on a large cohort, and requires only raw gene expression counts. It provides a prediction of a sample's HR status, being HR proficient (HRP) or deficient (HRD), in addition to the probability that a given sample is HRD.

Our R package includes functions to process your count table and apply the IdentifiHR model, while also offering some plotting functions to help you to analyse your results.