# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "TweedSpot" in publications use:'
type: software
license: MIT
title: 'TweedSpot: Self-Adaptive Spatial Tweedie Models for Spatially Variable Gene
  Detection'
version: 0.99.1
doi: 10.32614/CRAN.package.TweedSpot
abstract: TweedSpot detects spatially variable genes (SVGs) in spatially resolved
  transcriptomics data using self-adaptive Tweedie generalized additive models with
  nonparametric spatial smoothing. The method models raw counts directly, avoiding
  the bias introduced by log-transformation, adapts a gene-specific Tweedie index
  parameter to the mean-variance relationship of each gene, and offers an optional
  two-part formulation to accommodate excess zeros. Inputs and outputs use the SpatialExperiment
  infrastructure for interoperability with the Bioconductor ecosystem.
authors:
- family-names: Arora
  given-names: Nalin
  email: naa4050@med.cornell.edu
  affiliation: Cornell University
  orcid: https://orcid.org/0009-0009-1340-688X
- family-names: Mallick
  given-names: Himel
  email: him4004@med.cornell.edu
  affiliation: Cornell University
- family-names: Myers
  given-names: Vivian
repository: https://biocstaging.r-universe.dev
repository-code: https://github.com/mallick-lab/TweedSpot
commit: 16f9d51de47ce3013edaa9cf8a6b456c431e824f
url: https://github.com/mallick-lab/TweedSpot
date-released: '2026-10-09'
contact:
- family-names: Arora
  given-names: Nalin
  email: naa4050@med.cornell.edu
  affiliation: Cornell University
  orcid: https://orcid.org/0009-0009-1340-688X