# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "diffdriver" in publications use:' type: software license: MIT title: 'diffdriver: Identify Differential Selection' version: 0.1.7 abstract: Tests for context-dependent selection on cancer driver genes using somatic mutation data. The package implements the DiffDriver statistical framework to assess whether the strength of positive selection on mutations in a driver gene is associated with tumor- or individual-level context variables, such as clinical traits, genomic features, or immune microenvironment subtypes. DiffDriver estimates individual- and position-specific background mutation rates, models selection as a deviation from the background rate using functional annotations, and tests context effects through a latent-variable logistic model. It provides utilities for preparing mutation and annotation data, fitting differential-selection models, running gene-level association tests, summarizing candidate genes, and visualizing mutation patterns. The method is described in Zhou et al. (2026) "Detecting context-dependent selection on cancer driver genes with DiffDriver" . authors: - family-names: Zhao given-names: Siming email: siming.zhao@dartmouth.edu - family-names: Zhou given-names: Jie - family-names: Zhang given-names: Qirui repository: https://cran.r-universe.dev repository-code: https://github.com/szhaolab/diffdriver commit: b7416b20d7423843e14f4b4fb5a819b9f0ecd9ae url: https://szhaolab.github.io/diffdriver/ date-released: '2026-06-26' contact: - family-names: Zhao given-names: Siming email: siming.zhao@dartmouth.edu