OSU-BMBL 的其他开源项目
A collection of bioinformatics data analysis notebooks focused on providing examples of current best practices in single-cell analysis.
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Train a model to predict gene expression from histology slides.
Bostongene cell deconvolution algorithm from RNAseq
an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo space with spatial transcriptome references
Open source analysis tools
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
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"
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
