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Learning Resources And Links Of Machine Learning（updating）
Deep probabilistic analysis of single-cell and spatial omics data
Step-by-step analysis pipeline for RNA-seq data
Bioinformatics analysis of TCGA and GTEx RNA-seq data
UCLA QCBio col-laboratory workshop W31: spatial transcriptomics
Clinical Histopathology Imaging Evaluation Foundation Model
A curated list of resources for using LLMs to develop more competitive grant applications.
R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Spatial transcriptomics of heart tissue
A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF.
This includes all codes used in TimiGP manuscript
Analysis of cell-cell communication at single-cell resolution
Papers with code for single cell related papers
Method for performing genome-wide association like studies on neighborhoods identified on biological networks relevant for the phenotype of interest.
Tutorial for scRNA-seq data analysis beginners using R
https://www.sc-best-practices.org
A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.
Single-cell multi-omics analysis reveals regulatory programs in clear cell renal cell carcinoma