Trained on millions of gene sets automatically extracted from literature and raw RNA-seq data, GSFM learns to recover held-out genes from gene sets. The resulting model exhibits state of the art performance on gene function prediction.

Search your gene of interest to review GSFM's predictions across a variety of Common Fund Data Ecosystem (CFDE) gene set libraries & other public resources.

Figure 1. Median area under the receiver operating characteristic curve (AUROC) across all terms in each benchmarking library. GSFM Rummagene is the model used for predictions on this site.