Fig. 2
From: Popularity and performance of bioinformatics software: the case of gene set analysis
Screenshots of our tools for popularity and performance analysis of the GSA field. a GSARefDB: A screenshot of the R/shiny interface to GSARefDB, showing the options of searching by year, tool name, paper’s first author, title, type of GSA, and programming language. b GSA BenchmarKING: One jupyter notebook containing an R workflow for benchmarking single-sample GSA methods, and one shiny app with the same purpose. Both tools display sensitivity, specificity, and precision plots for all the methods under study. See: https://gsa-central.github.io/gsarefdb.html and https://gsa-central.github.io/benchmarKING.html