Wenwen Min
@wenwenminI received the PhD degree in computer science from Wuhan University. My research interests include machine learning and bioinformatics.
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Repos
108
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+18%
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Ray
@ZhenfengLei
Morvan
@MorvanZhou
Huang Haiguang
@fengdu78
Hadley Wickham
@hadley
Ben Erichson
@erichson
Top Repositories
[Briefings in Bioinformatics 2025] A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expression by integrating multimodal information.
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
High-Resolution Spatial Transcriptomics Using Histology Images with HisToSGE (Pathology Image Large Model, Transformers)
[Advanced Science 2025] SpaBatch: Deep learning-based cross-slice integration and 3D spatial domain identification in spatial transcriptomics
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
scASDC is an attention enhanced structural deep clustering method for scRNA-seq cell clustering
Deep Clustering Representation for Spatially Resolved Transcriptomics Data via Multi-view Variational Graph Auto-Encoders with Consensus Clustering
We propose STG3Net, a novel method designed to integrate multiple SRT datasets and correct batch effects.
Pretrained-Guided Masked Conditional Diffusion Models for Microbiome Data Analysis
Masked adversarial neural network for cell type deconvolution (MACD) in spatial transcriptomics data
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