Machine learning-based integration model with elegant performance

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Contains code to analyse the data from the paper: Immune profiling-based targeting of pathogenic T cells with ustekinumab in ANCA-associated glomerulonephritis

PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.

Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease

Code for ST_IGI package

This repository contains the code used to generate figures and perform analysis for the manuscript titled "Transcriptomic and Spatial Proteomic Profiling Reveals the Cellular Composition and Spatia…

单细胞分析的中文pipeline

Bioconductor workshop: Analysis of single-cell RNA-seq data with R and Bioconductor

Accompanying code for the tutorial: Annotating single cell transcriptomic maps using automated and manual methods

Data files and code for analysis of single-cell ccRCC data for the manuscript "Tumor-Specific Cell Populations in Clear Cell Renal Carcinoma Associated with Clinical Outcome Identified Using Single…

Code and annotations for the Tabula Muris single-cell transcriptomic dataset.

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

omics data analysis using clusterProfiler ;)

Scripts for the Reay et al. GWAS of circulating retinol

Stata package for two-sample Mendelian randomization analyses using summary data

Curated list of awesome GPTs 👍.

An extension for VS Code that visualizes data during debugging.

RNA-Seq pipeline for bulk, paired-end data

A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.

GENE-SWitCH project RNA-Seq analysis pipeline

RNAseq analysis pipeline

A nextflow pipeline which integrates multiple omic data streams and performs coordinated analysis

Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing

QC and filtering of genome skims, followed by organelle assembly and/or genome analysis

Image Mass Cytometry analysis pipeline

Interactively analyze single cell genomic data