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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "mslp" in publications use:'
type: software
license: GPL-3.0-only
title: 'mslp: Predict synthetic lethal partners of tumour mutations'
version: 1.7.0
doi: 10.1101/2021.12.15.472776
abstract: An integrated pipeline to predict the potential synthetic lethality partners
  (SLPs) of tumour mutations, based on gene expression, mutation profiling and cell
  line genetic screens data. It has builtd-in support for data from cBioPortal. The
  primary SLPs correlating with muations in WT and compensating for the loss of function
  of mutations are predicted by random forest based methods (GENIE3) and Rank Products,
  respectively. Genetic screens are employed to identfy consensus SLPs leads to reduced
  cell viability when perturbed.
authors:
- family-names: Shao
  given-names: Chunxuan
  email: chunxuan@outlook.com
preferred-citation:
  type: article
  title: 'mslp: a comprehensive pipeline in predicting cancer mutations specific synthetic
    lethal partners'
  authors:
  - family-names: Shao
    given-names: Chunxuan
    email: chunxuan@outlook.com
  journal: biorxiv
  year: '2021'
  doi: 10.1101/2021.12.15.472776
  url: https://www.biorxiv.org/content/10.1101/2021.12.15.472776v1
repository: https://bioc.r-universe.dev
contact:
- family-names: Shao
  given-names: Chunxuan
  email: chunxuan@outlook.com