sldyns
Ph.D. student in Peking University, Bioinformatics & Deep Learning methods for omics data
Peking UniversityBeijing
Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DnCNN_paddle
MIRNetV2_paddle
Real-ESRGAN_paddle_Lite
RPCA
Robust principal component analysis.
scAce
scAce: an adaptive embedding and clustering method for scRNA-seq data
scBiG
scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding
SpaHDmap
Deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping
SwinIR_paddle
scINSIGHT
Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
sldyns's Repositories
sldyns/scAce
scAce: an adaptive embedding and clustering method for scRNA-seq data
sldyns/Real-ESRGAN_paddle_Lite
sldyns/MIRNetV2_paddle
sldyns/scBiG
scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding
sldyns/SpaHDmap
Deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping
sldyns/RPCA
Robust principal component analysis.
sldyns/SwinIR_paddle
sldyns/DnCNN_paddle
sldyns/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
sldyns/DeepClustering
Methods and Implements of Deep Clustering
sldyns/MIRNet_paddle
sldyns/scINSIGHT
Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data
sldyns/Paddle_pSp
sldyns/sldyns
sldyns/TOSICA
Transformer for One-Stop Interpretable Cell-type Annotation