Pinned Repositories
BlogBackup
博客备份
BSP
c0nc.github.io
CASP
code for "Discovering Causal Relationship in Spatial Proteomics Data with CASP"
CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
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)
MARVEL
River
A Python package for identification Differential Spatial Expression Pattern (DESP) gene by interpretable deep learning from multi-slice spatial omics data.
SMG
SMG: self-supervised masked graph learning for cancer gene identification.
TAICHI
A Python package for the Scalable and accurate identification condition-relevant niches from spatial -omics data.
C0nc's Repositories
C0nc/TAICHI
A Python package for the Scalable and accurate identification condition-relevant niches from spatial -omics data.
C0nc/River
A Python package for identification Differential Spatial Expression Pattern (DESP) gene by interpretable deep learning from multi-slice spatial omics data.
C0nc/SMG
SMG: self-supervised masked graph learning for cancer gene identification.
C0nc/MARVEL
C0nc/BlogBackup
博客备份
C0nc/BSP
C0nc/c0nc.github.io
C0nc/CASP
code for "Discovering Causal Relationship in Spatial Proteomics Data with CASP"
C0nc/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
C0nc/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)
C0nc/EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
C0nc/FS-Mol
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.
C0nc/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
C0nc/GraphMAE2
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
C0nc/GSSG
Gene Set + S2G strategy annotations analyzed for disease architecture
C0nc/integration
C0nc/milopy
Python implementation of Milo for differential abundance testing on KNN graph
C0nc/MTGCN
C0nc/MVTCAE
C0nc/scInformer
C0nc/SL