# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MBttest" in publications use:' type: software license: GPL-3.0-only title: 'MBttest: Multiple Beta t-Tests' version: 1.33.0 doi: 10.32614/CRAN.package.MBttest abstract: MBttest method was developed from beta t-test method of Baggerly et al(2003). Compared to baySeq (Hard castle and Kelly 2010), DESeq (Anders and Huber 2010) and exact test (Robinson and Smyth 2007, 2008) and the GLM of McCarthy et al(2012), MBttest is of high work efficiency,that is, it has high power, high conservativeness of FDR estimation and high stability. MBttest is suit- able to transcriptomic data, tag data, SAGE data (count data) from small samples or a few replicate libraries. It can be used to identify genes, mRNA isoforms or tags differentially expressed between two conditions. authors: - family-names: Tan given-names: Yuan-De email: tanyuande@gmail.com repository: https://bioc.r-universe.dev commit: 46a7e7ae589cd39eb93e61cd0038675b99bf55e3 date-released: '2015-01-04' contact: - family-names: Tan given-names: Yuan-De email: tanyuande@gmail.com