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C0nc's repositories

River

A Python package for identification Differential Spatial Expression Pattern (DESP) gene by interpretable deep learning from multi-slice spatial omics data.

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SMG

SMG: self-supervised masked graph learning for cancer gene identification.

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TAICHI

A Python package for the Scalable and accurate identification condition-relevant niches from spatial -omics data.

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CASP

code for "Discovering Causal Relationship in Spatial Proteomics Data with CASP"

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CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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CppTemplateTutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

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EMOGI

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

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FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.

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