stephaniehicks / qsmoothLinks
Smooth quantile normalization (qsmooth) is a generalization of quantile normalization, which is an average of the two types of assumptions about the data generation process: quantile normalization and quantile normalization between groups.
☆52Updated 2 years ago
Alternatives and similar repositories for qsmooth
Users that are interested in qsmooth are comparing it to the libraries listed below
Sorting:
- A R package for Grade of Membership model and Visualization of counts data:☆31Updated 4 years ago
- Glimma R package☆50Updated 9 months ago
- Transcript quantification import with automatic metadata detection☆68Updated 3 weeks ago
- Assorted thoughts, explanations and justifications for code in the scran package and the simpleSingleCell workflow.☆44Updated 4 years ago
- ☆53Updated 3 months ago
- R package for the recount2 project. Documentation website: http://leekgroup.github.io/recount/☆41Updated 5 months ago
- Lightweight Iterative Gene set Enrichment in R☆56Updated 8 months ago
- An R Package for Geneset Enrichment Workflows☆76Updated this week
- A small R package to make sequencing read coverage plots in R.☆38Updated 2 years ago
- Parse TF motifs from public databases, read into R, and scan using 'rtfbs'.☆22Updated 6 years ago
- Differential Count Data Analysis Toolbox☆61Updated last year
- countsimQC - Compare characteristic features of count data sets