# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "Linnorm" in publications use:' type: software license: MIT title: 'Linnorm: Linear model and normality based normalization and transformation method (Linnorm)' version: 2.29.0 doi: 10.1093/nar/gkx828 abstract: Linnorm is an algorithm for normalizing and transforming RNA-seq, single cell RNA-seq, ChIP-seq count data or any large scale count data. It has been independently reviewed by Tian et al. on Nature Methods (https://doi.org/10.1038/s41592-019-0425-8). Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. authors: - family-names: Yip given-names: Ken Shun Hang email: shunyip@bu.edu preferred-citation: type: article title: 'Linnorm: improved statistical analysis for single cell RNA-seq expression data' authors: - family-names: Yip given-names: Shun H - family-names: Wang given-names: Panwen - family-names: Kocher given-names: Jean-Pierre A - family-names: Sham given-names: Pak Chung - family-names: Wang given-names: Junwen journal: Nucleic Acids Research year: '2017' volume: '45' issue: '22' doi: 10.1093/nar/gkx828 start: e179 repository: https://bioc.r-universe.dev url: https://doi.org/10.1093/nar/gkx828 date-released: '2023-10-12' contact: - family-names: Yip given-names: Ken Shun Hang email: shunyip@bu.edu