wenwenmin
I received the PhD degree in computer science from Wuhan University. My research interests include machine learning and bioinformatics.
Yunnan UniversityChina
Pinned Repositories
ABPL
Globally Convergent Accelerated Block Proximal Method with Adaptive Momentum for Nonconvex Optimization
HisToSGE
High-Resolution Spatial Transcriptomics Using Histology Images with HisToSGE (Pathology Image Large Model, Transformers)
MACD
Masked adversarial neural network for cell type deconvolution (MACD) in spatial transcriptomics data
scstGCN
A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expression by integrating multimodal information.
SpaDiT
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
SpaLLM
Large Language Models for Spatial Transcriptomics Analysis
STAHistologyImages
Histology Images Inspired Spatial Transcriptome Analysis
STMGAC
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
wenwenmin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mclSTExp
mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images
wenwenmin's Repositories
wenwenmin/scstGCN
A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expression by integrating multimodal information.
wenwenmin/SpaDiT
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
wenwenmin/STMGAC
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
wenwenmin/MACD
Masked adversarial neural network for cell type deconvolution (MACD) in spatial transcriptomics data
wenwenmin/HisToSGE
High-Resolution Spatial Transcriptomics Using Histology Images with HisToSGE (Pathology Image Large Model, Transformers)
wenwenmin/scASDC
scASDC is an attention enhanced structural deep clustering method for scRNA-seq cell clustering
wenwenmin/mbVDiT
Pretrained-Guided Masked Conditional Diffusion Models for Microbiome Data Analysis
wenwenmin/SpatialCVGAE
We propose SpatialCVGAE, which uses multiple variational graph autoencoders with different initializations to simultaneously generate corresponding low-dimensional embeddings, and then utilizes consensus clustering.
wenwenmin/STG3Net
We propose STG3Net, a novel method designed to integrate multiple SRT datasets and correct batch effects.
wenwenmin/SpaLLM
Large Language Models for Spatial Transcriptomics Analysis
wenwenmin/STMVGAE
Deep Clustering Representation for Spatially Resolved Transcriptomics Data via Multi-view Variational Graph Auto-Encoders with Consensus Clustering
wenwenmin/ABPL
Globally Convergent Accelerated Block Proximal Method with Adaptive Momentum for Nonconvex Optimization
wenwenmin/SpaDAMA
Domain-Adversarial Masked Autoencoder (SpaDAMA) for cell type deconvolution in spatial transcriptomics data
wenwenmin/SpaMask
SpaMask: Dual Masking Graph Autoencoder with Contrastive Learning for Spatial Transcriptomics
wenwenmin/SpaViT
A self-supervised learning method with Vision Transformer as backbone network for resolution enhancement in spatial transcriptomics.
wenwenmin/VTrans
VTrans: A VAE-based Pre-trained Transformer Method for Microbiome Data Analysis
wenwenmin/CAVAE
Multimodal Co-Attention-based VAE deep learning framework
wenwenmin/MAVAE
wenwenmin/STAHistologyImages
Histology Images Inspired Spatial Transcriptome Analysis
wenwenmin/STMask
wenwenmin/stMCDI
Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
wenwenmin/TSCCA
PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1009044, TSCCA: A tensor-based method for new discovery of cancer-miRNA-gene patterns from multiple cancers.
wenwenmin/wsPLS
Min Wenwen et al., Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection
wenwenmin/SpaMGAC
SpaMGAC: Masked Graph Autoencoders with Contrastive Augmentation for Spatially Transcriptomics Data Analysis
wenwenmin/STMCL
STMCL: Leveraging AI to Infer Spatial Gene Expression from Histological Data
wenwenmin/TransVCOX
wenwenmin/wenwenmin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
wenwenmin/L0GSNTD
wenwenmin/SGNCP
Sparse nonnegative CP decomposition
wenwenmin/scib
Benchmarking analysis of data integration tools