# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ppcseq" in publications use:' type: software license: GPL-3.0-only title: 'ppcseq: Probabilistic Outlier Identification for RNA Sequencing Generalized Linear Models' version: 1.13.0 identifiers: - type: doi value: 10.32614/CRAN.package.ppcseq abstract: Relative transcript abundance has proven to be a valuable tool for understanding the function of genes in biological systems. For the differential analysis of transcript abundance using RNA sequencing data, the negative binomial model is by far the most frequently adopted. However, common methods that are based on a negative binomial model are not robust to extreme outliers, which we found to be abundant in public datasets. So far, no rigorous and probabilistic methods for detection of outliers have been developed for RNA sequencing data, leaving the identification mostly to visual inspection. Recent advances in Bayesian computation allow large-scale comparison of observed data against its theoretical distribution given in a statistical model. Here we propose ppcseq, a key quality-control tool for identifying transcripts that include outlier data points in differential expression analysis, which do not follow a negative binomial distribution. Applying ppcseq to analyse several publicly available datasets using popular tools, we show that from 3 to 10 percent of differentially abundant transcripts across algorithms and datasets had statistics inflated by the presence of outliers. authors: - family-names: Mangiola given-names: Stefano email: mangiolastefano@gmail.com orcid: https://orcid.org/0000-0001-7474-836X preferred-citation: type: article title: Probabilistic outlier identification for RNA sequencing generalized linear models authors: - family-names: Mangiola given-names: Stefano email: mangiolastefano@gmail.com orcid: https://orcid.org/0000-0001-7474-836X - family-names: Thomas given-names: Evan - family-names: Modrak given-names: Martin - family-names: Vehtari given-names: Aki - family-names: Papenfuss given-names: Anthony journal: NAR Genomics and Bioinformatics year: '2021' volume: '3' issue: '1' notes: R package version 1.13.0 url: https://doi.org/10.1093/nargab/lqab005 start: lqab005 repository: https://bioc.r-universe.dev repository-code: https://github.com/stemangiola/ppcseq commit: 9168270474c99e73ca9f8b0bb71924a5fa0cbf2d url: https://github.com/stemangiola/ppcseq contact: - family-names: Mangiola given-names: Stefano email: mangiolastefano@gmail.com orcid: https://orcid.org/0000-0001-7474-836X