# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "qsvaR" in publications use:' type: software license: Artistic-2.0 title: 'qsvaR: Generate Quality Surrogate Variable Analysis for Degradation Correction' version: 1.16.0 doi: 10.18129/B9.bioc.qsvaR identifiers: - type: doi value: 10.32614/CRAN.package.qsvaR abstract: The qsvaR package contains functions for removing the effect of degration in rna-seq data from postmortem brain tissue. The package is equipped to help users generate principal components associated with degradation. The components can be used in differential expression analysis to remove the effects of degradation. authors: - family-names: Stolz given-names: Joshua email: jstolz80@gmail.com orcid: https://orcid.org/0000-0001-5694-5247 - family-names: Eagles given-names: Nicholas J. email: nickeagles77@gmail.com orcid: https://orcid.org/0000-0002-9808-5254 preferred-citation: type: manual title: qsvaR authors: - family-names: Stolz given-names: Joshua M. - family-names: Tnani given-names: Hedia - family-names: Collado-Torres given-names: Leonardo year: '2026' url: http://www.bioconductor.org/packages/qsvaR notes: https://github.com/LieberInstitute/qsvaR/qsvaR - R package version 1.16.0 doi: 10.18129/B9.bioc.qsvaR repository: https://bioc-release.r-universe.dev repository-code: https://github.com/LieberInstitute/qsvaR commit: a2ac40ec7b829d42c0a58c91ccfd00aa43b54963 url: https://support.bioconductor.org/t/qsvaR date-released: '2025-09-29' contact: - family-names: Eagles given-names: Nicholas J. email: nickeagles77@gmail.com orcid: https://orcid.org/0000-0002-9808-5254 references: - type: article title: qsvaR authors: - family-names: Stolz given-names: Joshua M. - family-names: Tnani given-names: Hedia - family-names: Tao given-names: Ran - family-names: Jaffe given-names: Andrew E. - family-names: Collado-Torres given-names: Leonardo year: '2026' journal: bioRxiv doi: 10.1101/TODO url: https://www.biorxiv.org/content/10.1101/TODO