2 citations · 4 across the 7 of their papers we have counts for
7 papers
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis
Xinyuan Shi, Fangfang Zhu, Wenwen Min
Emerging evidence indicates that human cancers are intricately linked to human microbiomes, forming an inseparable connection. However, due to limited sample sizes and significant…
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net
Donghai Fang, Fangfang Zhu, Wenwen Min
With the rapid development of the latest Spatially Resolved Transcriptomics (SRT) technology, which allows for the mapping of gene expression within tissue sections, the integrativ…
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
Donghai Fang, Fangfang Zhu, Dongting Xie +1
With the rapid advancement of Spatial Resolved Transcriptomics (SRT) technology, it is now possible to comprehensively measure gene transcription while preserving the spatial conte…
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
Wenwen Min, Zhen Wang, Fangfang Zhu +2
Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterogeneity. However, the high sparsity and complex noise patterns inherent in scRNA-se…
High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE
Zhiceng Shi, Shuailin Xue, Fangfang Zhu +1
Spatial transcriptomics (ST) is a groundbreaking genomic technology that enables spatial localization analysis of gene expression within tissue sections. However, it is significant…
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
Xiaoyu Li, Fangfang Zhu, Wenwen Min
The rapid development of spatial transcriptomics (ST) technologies is revolutionizing our understanding of the spatial organization of biological tissues. Current ST methods, categ…