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

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

UniverSC: a flexible cross-platform single-cell data processing pipeline