Stars
A curated list of resources for using LLMs to develop more competitive grant applications.
Presentation-Ready Data Summary and Analytic Result Tables
⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑
Downstream analysis for the paper "Metabolomic profiles predict individual multi-disease outcomes in the UK Biobank cohort".
Access share reviewed code & Jupyter Notebooks for use on the UK Biobank (UKBB) Research Application Platform. Includes resources from DNAnexus webinars, online trainings and workshops.
UKB RAP Notebooks contains a collection of examples of how to use UK Biobank Research Analyses Platform (RAP).
This repo contains a JupyterLab notebook allowing individual SNPs to be filtered from the UKB genotyping data. A few approaches to filtering are provided, including options to filter by individual …
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
A Shiny web app for mapping datasets using Seurat v4
Code used for the analysis of single nucleus RNA-seq (sNuc-Seq) data from WT and 5xFAD Alzheimer's disease mouse model, and an algorithmic approach to track changes in cell states across time.
A Bayesian model for compositional single-cell data analysis
R package for detecting doublets in single-cell RNA sequencing data
R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
Automatic selection of number of principal components
Multi-omics view of MS postmortem white matter brain tissue
A computational approach to extrapolate cell type proportion estimates using matched bulk data and cell type counts
Single-nuclei RNA-seq and ATAC-seq in Alzheimer's disease
Code for the paper 'Identifying Modifiable Risk Factors and Their Joint Effect on Dementia Prevention'
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.