jianhuupenn Goto Github PK

bayesspace

Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.

dec-pytorch

desc

Deep Embedding for Single-cell Clustering

esvd

itclust

Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis

morphlink

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

sleep-stage-classification

Sleep stage classification based on Recurrent neural networks using wrist-worn device data

spagcn

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

stlearn

A novel machine learning pipeline to analyse spatial transcriptomics data

tangram

Spatial alignment of single cell transcriptomic data.

tesla

Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA

the-world-of-faculty

xfuse

Super-resolved spatial transcriptomics by deep data fusion