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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SurvSPro" in publications use:'
type: software
license: GPL-3.0-only
title: 'SurvSPro: Survival Prediction with Spatially Adjusted Protein Summaries'
version: 0.1.0
abstract: A survival prediction framework using spatially adjusted protein summaries
  from spatial proteomics data, including imaging mass cytometry data. Cell-level
  protein intensities are modeled with spatial spline regression to estimate spatially
  adjusted mean expression and residual variance. Methodological details are described
  in Ahn et al. (2026) <https://doi.org/10.64898/2026.06.08.730964>.
authors:
- family-names: Ahn
  given-names: Seungjun
  email: seungjun.ahn@mountsinai.org
  orcid: https://orcid.org/0000-0002-4816-8924
- family-names: Oh
  given-names: Eun Jeong
  email: eoh2@northwell.edu
  orcid: https://orcid.org/0000-0001-8949-6564
repository: https://cran.r-universe.dev
commit: cf24d513889321fb48b476e7697ec8cd8f45baeb
date-released: '2026-06-19'
contact:
- family-names: Ahn
  given-names: Seungjun
  email: seungjun.ahn@mountsinai.org
  orcid: https://orcid.org/0000-0002-4816-8924