Trending repositories for language R
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Data quality assessment and metadata reporting for data frames and database tables
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Data quality assessment and metadata reporting for data frames and database tables
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
A list of awesome resources for Computational Social Science
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
Data quality assessment and metadata reporting for data frames and database tables
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
A minimalistic presentation theme for Quarto + Typst by Touying
Access national high-quality and open-access datasets on movement patterns derived from mobile telephone datasets
Web scraping y análisis de texto sobre un corpus de texto de noticias de la prensa chilena
Generalized Reporter Score-based Functional Enrichment Method for Omics Data
CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
Create Beautiful Maps Of Your Adventures With Leaflet In R.
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on...
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
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 ...
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Shiny app to easily create publishable plots for scientific papers
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on...
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code.
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 ...
Create Beautiful Maps Of Your Adventures With Leaflet In R.
Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports
scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.
CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Enhancing {ggplot2} plots with statistical analysis 📊📣
Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
The First Innovative Tool to Comprehensively Assess T Cell States
Retrieve and summarize bioRxiv preprints with a local LLM using ollama
R package for autoregressive, reduced-rank, and factor models in time series.
Exercises (playgrounds) to go with ohshitgit and beyond, for R users
Wastewater-informed COVID-19 forecasting models submitted to the COVID-19 Forecast Hub
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on...
In this repo, I’ll show you how to use rayshader in R to transform old 3D topo maps into 3D topo maps
