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Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Enhancing {ggplot2} plots with statistical analysis 📊📣
Easily generate information-rich, publication-quality tables from R
Presentation-Ready Data Summary and Analytic Result Tables
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
tidyverse and ggplot2 methods for terra spatial objects
Visualizing transcript structure and annotation using ggplot2
Bayesian mixed-effect model to test differences in cell type proportions from single-cell data, in R
CHOIR : Clustering Hierarchy Optimization by Iterative Random forests (www.CHOIRclustering.com)
R package for working in the UK Biobank Research Analysis Platform (RAP)
flowchart is an R package for drawing participant flow diagrams directly from a dataframe using tidyverse.
Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition
R package for quality control of plink genetic datasets
Fine-tuning polygenic risk score models using GWAS summary statistics
Tools for processing Nightingale NMR biomarker data in UK Biobank
Single-cell dubious embedding detector (scDED): a statistical method for detecting dubious non-linear embeddings
Quantification of isoform usage and alternative polyadenylation (APA) from single-cell RNA-seq using a Nextflow-based pipeline.
Seismic R package. Discover cell type-trait associations in minutes for GWAS and single-cell RNA-sequencing data
A GPU version of SAIGE for full GRM GWAS analysis