Olink-Proteomics / OlinkRPackageLinks
Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
☆122Updated last week
Alternatives and similar repositories for OlinkRPackage
Users that are interested in OlinkRPackage are comparing it to the libraries listed below
Sorting:
- Updated implementation of the GSEA-P R application for modern R distributions☆97Updated 4 years ago
- R data package for annotating/converting Gene IDs☆166Updated 5 months ago
- Data from Lewis, Barnes, Blighe et al., Cell Rep. 2019 Aug 27; 28(9): 2455–2470.e5.☆121Updated 5 years ago
- An R interface to enrichR☆93Updated 10 months ago
- Batch effect adjustment based on negative binomial regression for RNA sequencing count data☆198Updated 5 years ago
- R data package for pre-compiled somatic mutations from TCGA cohorts and CCLE☆98Updated last year
- Easily install and load packages from the tidyomics ecosystem☆72Updated last month
- The package wrapping the book, for deployment via the Bioconductor build system.☆97Updated last year
- ☆142Updated 7 years ago
- Integrative pathway enrichment analysis of multivariate omics data☆117Updated 4 months ago
- published papers with a lot of data☆74Updated 8 months ago
- Light-weight Snakemake workflow for preprocessing and statistical analysis of RNA-seq data☆165Updated 2 months ago
- Simplify functional enrichment results☆120Updated last year
- ☆63Updated last year
- Integrated Differential Expression and Pathway analysis☆134Updated last month
- Interactively analyze single cell genomic data☆184Updated 2 months ago
- Clone of the Bioconductor repository for the SingleR package.☆198Updated last month
- Multi-sample multi-group scRNA-seq analysis tools☆212Updated last month
- Visualization of Functional Enrichment Result☆250Updated this week
- Course material in notebook format for learning about single cell bioinformatics methods☆99Updated 9 years ago
- PolyFun (POLYgenic FUNctionally-informed fine-mapping)☆127Updated last year
- chromatin Variability Across Regions (of the genome!)☆182Updated last year
- Bioconductor workshop: Analysis of single-cell RNA-seq data with R and Bioconductor☆80Updated 9 years ago
- Cell types enrichment analysis☆205Updated last year
- My youtube programming scripts☆59Updated 10 months ago
- ☆73Updated 3 years ago
- A single cell RNA-seq workflow, including highly variable gene analysis, cell type assignment and differential expression analysis.☆104Updated 3 years ago
- Multi-Omics Factor Analysis☆253Updated 5 years ago
- Comprehensive tutorial for differential methylation analysis, differential variability analysis and integrative analysis☆29Updated last year
- Shiny Interactive Web Apps for Single-Cell Data☆200Updated 7 months ago