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.
|Date of publication||None|
|Maintainer||Yuan-De Tan <email@example.com>|
betaparametab: Estimation of Beta Parameters a And b
betaparametVP: Estimation of Binomal Parameters V And P in Count Data of RNA...
betaparametw: Estimation of Weights of Proportions
betattest: Beta t-test
dat: The Transcriptomic data and t-test results.
jkttcell: Jurkat T-cell Transcritomic Data
maplot: MA plot of t-values Against Log Mean
mbetattest: Performance of multiple beta t-test on simulated data
MBttest-package: Multiple Beta t-tests
mtprocedure: Multiple-Test Procedures
mtpvadjust: P-value Adjustment for Multiple Comparisons
oddratio: Calculation of Zeta
pratio: Calculation of Psi
simulat: Simulation Data
skjt: Simulated Null Transcriptomic data
smbetattest: Performance of multiple Beta t-test on simulated data