cff-version: 1.2.0
message: "Citation for this repository"
authors:
  - family-names: Rosenthal
    given-names: Jacob
  - family-names: Carelli
    given-names: Ryan
  - family-names: Mohammed
    given-names: Omar
  - family-names: Brundage
    given-names: David
  - family-names: Halbert
    given-names: Ella
  - family-names: Nyman
    given-names: Jackson
  - family-names: Hari
    given-names: Surya
  - family-names: Van Allen
    given-names: Eliezer
  - family-names: Marchionni
    given-names: Luigi
  - family-names: Umeton
    given-names: Renato
  - family-names: Loda
    given-names: Massimo
title: "Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology"
date-released: 2022-02-03
doi: 10.1158/1541-7786.MCR-21-0665
url: https://github.com/Dana-Farber-AIOS/pathml
preferred-citation:
  type: article
  authors:
      - family-names: Rosenthal
        given-names: Jacob
      - family-names: Carelli
        given-names: Ryan
      - family-names: Mohammed
        given-names: Omar
      - family-names: Brundage
        given-names: David
      - family-names: Halbert
        given-names: Ella
      - family-names: Nyman
        given-names: Jackson
      - family-names: Hari
        given-names: Surya
      - family-names: Van Allen
        given-names: Eliezer
      - family-names: Marchionni
        given-names: Luigi
      - family-names: Umeton
        given-names: Renato
      - family-names: Loda
        given-names: Massimo
  doi: 10.1158/1541-7786.MCR-21-0665
  journal: "Molecular Cancer Research"
  publisher: American Academy of Cancer Research
  month: 2
  year: 2022
  issue: 2
  volume: 20
  start: 202
  title: "Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology"
  url: https://doi.org/10.1158/1541-7786.MCR-21-0665