Packaged: 2021-08-16 16:04:22 UTC; chammerquist

Author: Jingyi Jessica Li <jli@stat.ucla.edu>, Wei Li <liw@ucla.edu>
Maintainer: Jingyi Jessica Li <jli@stat.ucla.edu>
Depends: R (>= 2.10), lattice, methods, topGO
Imports: AnnotationDbi, openxlsx, GO.db, gtools, RColorBrewer, gplots
Description: A new bioinformatic tool for comparing transcriptomes of two biological samples from the same or different species. The mapping is conducted based on the overlap of the associated genes of different samples.

Author: Jingyi Jessica Li <jli@stat.ucla.edu>, Wei Vivian Li <liw@ucla.edu>
Imports: AnnotationDbi, openxlsx, GO.db, gtools, RColorBrewer, gplots,
Description: A new bioinformatic tool for comparing transcriptomes of two biological samples from the same or different species. The mapping is conducted based on the overlap of the associated genes of different samples. More examples and detailed explanations are available in the vignette.

Description: A new bioinformatic tool for comparing transcriptomes of two biological samples from the same or different species. The mapping is conducted based on the overlap of the associated genes of different samples. More examples and detailed explanations are available in the vignette. For detailed description of the method, please refer to Li, Wei Vivian, Yiling Chen, and Jingyi Jessica Li. "TROM: A testing-based method for finding transcriptomic similarity of biological samples." Statistics in biosciences 9.1 (2017): 105-136 <doi:10.1007/s12561-016-9163-y>.

Title: Functions and Datasets to Accompany the Book "The R Software:
Fundamentals of Programming and Statistical Analysis"
Description: Functions and datasets for the reader of the book "The R Software: Fundamentals of Programming and Statistical Analysis".

Title: T-Rex Selector: High-Dimensional Variable Selection & FDR
Description: Performs fast variable selection in high-dimensional settings while controlling the
false discovery rate (FDR) at a user-defined target level. The package is based on the paper
Machkour, Muma, and Palomar (2021) <arXiv:2110.06048>.
person("Jasin", "Machkour", , "jasin.machkour@tu-darmstadt.de", role = c("aut", "cre")),
person("Simon", "Tien", , email = "simon.tien@stud.tu-darmstadt.de", role = "aut"),
person(c("Daniel", "P."), "Palomar", , "daniel.p.palomar@gmail.com", role = "aut"),
person("Michael", "Muma", , "michael.muma@tu-darmstadt.de", role = "aut")
Suggests: knitr, rmarkdown, ggplot2, patchwork, testthat (>= 3.0.0)
Imports: MASS, stats, tlars, parallel, doParallel, foreach, doRNG,