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# CITATION.cff 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 "wSIR" in publications use:'
type: software
license: MIT
title: 'wSIR: Weighted Sliced Inverse Regression (wSIR) for supervised dimension reduction
  of spatial transcriptomics and single cell gene expression data'
version: 0.99.9
identifiers:
- type: url
  value: https://github.com/SydneyBioX/wSIR
abstract: Weighted Sliced Inverse Regression (wSIR) is a supervised dimension reduction
  algorithm for spatial transcriptomics gene expression data. For a provided gene
  expression matrix and dataframe of each cell's spatial coordinates, wSIR creates
  a low-dimensional representation of the gene expression data that preserves the
  ability to predict spatial coordinates that was present in the gene expression data.
  Furthermore, wSIR provides interpretable loadings which allow for projection of
  new single-cell gene expression data into a low-dimensional space which preserves
  the spatial information present in the gene expression data.
authors:
- family-names: Woollard
  given-names: Max
  email: mwoo5086@uni.sydney.edu.au
  orcid: https://orcid.org/0009-0000-6319-6926
- family-names: Nghiem
  given-names: Linh
  orcid: https://orcid.org/0000-0003-2874-9067
- family-names: Ghazanfar
  given-names: Shila
  email: shazanfar@gmail.com
  orcid: https://orcid.org/0000-0001-7861-6997
repository: https://bioc.r-universe.dev
repository-code: https://github.com/sydneybiox/wSIR
commit: 7d58fcbfe33efbd531f2f07809f418f8399e92eb
url: https://sydneybiox.github.io/wSIR
date-released: '2026-07-14'
contact:
- family-names: Woollard
  given-names: Max
  email: mwoo5086@uni.sydney.edu.au
  orcid: https://orcid.org/0009-0000-6319-6926