Xiang Zhou's repositories
bulk2space
a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
center-loss.pytorch
center loss for face recognition
download_TCGA_GDC
Travel the TCGA dir, and run gdc-client to download specific data
example-jupyter-book
An example Jupyter Book project integrated with Read the Docs
gene-graph-conv
Towards Gene Expression Convolutions using Gene Interaction Graphs
LR91-2017-09-05
2017-9-5
LRd2000-model
0D and 2D code(OpenMP support)
MultimodalAutoencoder
Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"
PAST
PAST: a Prior-based self-Attention method for Spatial Transcriptomics
Self-Corrected-Retrosynthetic-Reaction-Predictor
A Robust Self-Corrected Retrosynthetic Reaction Predictor using Neural Transformer Models
STABox
Interactive analysis and visualization of spatial transcriptome GUI program
STAGATE
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习