Package: DGEAR 0.1.4
Koushik Bardhan
DGEAR:Differential Gene Expression Analysis with R
Analyses gene expression data derived from experiments to detect differentially expressed genes by employing the concept of majority voting with five different statistical models. It includes functions for differential expression analysis, significance testing, etc. It simplifies the process of uncovering meaningful patterns and trends within gene expression data, aiding researchers in downstream analysis. Boyer, R.S., Moore, J.S. (1991) <doi:10.1007/978-94-011-3488-0_5>.
Authors:
DGEAR_0.1.4.tar.gz
DGEAR_0.1.4.tar.gz(r-4.5-noble)DGEAR_0.1.4.tar.gz(r-4.4-noble)
DGEAR_0.1.4.tgz(r-4.4-emscripten)DGEAR_0.1.4.tgz(r-4.3-emscripten)
DGEAR.pdf |DGEAR.html✨
DGEAR/json (API)
NEWS
| # InstallDGEAR in R: |
| install.packages('DGEAR',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- gene_exp_data - A dataset containing gene expression data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 days agofrom:05f2ae2d7d
Exports:DGEARperform_anovaperform_dunnett_testperform_h_testperform_t_testperform_wilcox_testread_and_preprocess_data
Dependencies:askpassbootcellrangerclassclicpp11crayoncurldata.tableDescToolse1071ExactexpmfansigldgluehmshttrjsonlitelatticelifecyclelmommagrittrMASSMatrixmimemvtnormopensslpillarpkgconfigprettyunitsprogressproxyR6RcppreadxlrematchrlangrootSolverstudioapisystibbleutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Differential Gene Expression Analysis with R | DGEAR |
| A dataset containing gene expression data | gene_exp_data |
| Function for ANOVA One-Way Test | perform_anova |
| Function for Dunnett's Test | perform_dunnett_test |
| Function for Half's-T-Test Analysis | perform_h_test |
| Function for t-Test Analysis | perform_t_test |
| Function for Wilcoxon-Mann-Whitney U-Test | perform_wilcox_test |
| Function to read data and perform initial pre-processing | read_and_preprocess_data |
