# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "STdeconvolve" in publications use:'
type: software
license: GPL-3.0-only
title: 'STdeconvolve: Reference-free Cell-Type Deconvolution of Multi-Cellular Spatially
  Resolved Transcriptomics Data'
version: 1.9.0
abstract: STdeconvolve as an unsupervised, reference-free approach to infer latent
  cell-type proportions and transcriptional profiles within multi-cellular spatially-resolved
  pixels from spatial transcriptomics (ST) datasets. STdeconvolve builds on latent
  Dirichlet allocation (LDA), a generative statistical model commonly used in natural
  language processing for discovering latent topics in collections of documents. In
  the context of natural language processing, given a count matrix of words in documents,
  LDA infers the distribution of words for each topic and the distribution of topics
  in each document. In the context of ST data, given a count matrix of gene expression
  in multi-cellular ST pixels, STdeconvolve applies LDA to infer the putative transcriptional
  profile for each cell-type and the proportional representation of each cell-type
  in each multi-cellular ST pixel.
authors:
- family-names: Miller
  given-names: Brendan
  email: bmill3r@gmail.com
  orcid: https://orcid.org/0000-0002-9559-4045
- family-names: Fan
  given-names: Jean
  email: jeanfan@jhu.edu
  orcid: https://orcid.org/0000-0002-0212-5451
repository: https://bioc.r-universe.dev
repository-code: https://github.com/JEFworks-Lab/STdeconvolve
url: https://jef.works/STdeconvolve/
contact:
- family-names: Miller
  given-names: Brendan
  email: bmill3r@gmail.com
  orcid: https://orcid.org/0000-0002-9559-4045