STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages

A deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics

抓取网络文章到github issues保存

ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.

Python version of Factored Spectrally Transformed Linear Mixed Models

A suite of tools for processing genotype data. Includes calling genotypes from .idat to plink (ped), sample/case-control variant QC steps, ancestry estimation. UNDER DEVELOPMENT

Code samples for my book "Neural Networks and Deep Learning"