Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
Fuente:
arXiv
Saved in:
| Main Authors: | Fang, Yaoyu, Qian, Jiahe, Wang, Xinkun, Cooper, Lee A., Zhou, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
by: Qian, Jiahe, et al.
Published: (2025)
by: Qian, Jiahe, et al.
Published: (2025)
ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction
by: Qian, Jiahe, et al.
Published: (2025)
by: Qian, Jiahe, et al.
Published: (2025)
Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning
by: Fang, Yaoyu, et al.
Published: (2025)
by: Fang, Yaoyu, et al.
Published: (2025)
HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
by: Weng, Ziqiao, et al.
Published: (2025)
by: Weng, Ziqiao, et al.
Published: (2025)
Completing Spatial Transcriptomics Data for Gene Expression Prediction Benchmarking
by: Ruiz, Daniela, et al.
Published: (2025)
by: Ruiz, Daniela, et al.
Published: (2025)
AMA-SAM: Adversarial Multi-Domain Alignment of Segment Anything Model for High-Fidelity Histology Nuclei Segmentation
by: Qian, Jiahe, et al.
Published: (2025)
by: Qian, Jiahe, et al.
Published: (2025)
Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
by: Yang, Yan, et al.
Published: (2024)
by: Yang, Yan, et al.
Published: (2024)
HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
by: Byeon, Keunho, et al.
Published: (2026)
by: Byeon, Keunho, et al.
Published: (2026)
Latent Gene Diffusion for Spatial Transcriptomics Completion
by: Cárdenas, Paula, et al.
Published: (2025)
by: Cárdenas, Paula, et al.
Published: (2025)
SEPAL: Spatial Gene Expression Prediction from Local Graphs
by: Mejia, Gabriel, et al.
Published: (2023)
by: Mejia, Gabriel, et al.
Published: (2023)
SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
by: Mejia, Gabriel, et al.
Published: (2024)
by: Mejia, Gabriel, et al.
Published: (2024)
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
by: Nishimura, Kazuya, et al.
Published: (2025)
by: Nishimura, Kazuya, et al.
Published: (2025)
GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images
by: Xiong, Ying, et al.
Published: (2024)
by: Xiong, Ying, et al.
Published: (2024)
Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features
by: Chung, Youngmin, et al.
Published: (2024)
by: Chung, Youngmin, et al.
Published: (2024)
GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction
by: Ouyang, Jiarui, et al.
Published: (2025)
by: Ouyang, Jiarui, et al.
Published: (2025)
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
by: Sadia, Rabeya Tus, et al.
Published: (2025)
by: Sadia, Rabeya Tus, et al.
Published: (2025)
Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
by: Qu, Mingcheng, et al.
Published: (2025)
by: Qu, Mingcheng, et al.
Published: (2025)
MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
by: Nguyen, Hai Dang, et al.
Published: (2025)
by: Nguyen, Hai Dang, et al.
Published: (2025)
From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images
by: Zhang, Ruikun, et al.
Published: (2025)
by: Zhang, Ruikun, et al.
Published: (2025)
Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
by: Fang, Donghai, et al.
Published: (2026)
by: Fang, Donghai, et al.
Published: (2026)
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
by: Zhu, Sichen, et al.
Published: (2025)
by: Zhu, Sichen, et al.
Published: (2025)
Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
by: Liu, Junzhuo, et al.
Published: (2025)
by: Liu, Junzhuo, et al.
Published: (2025)
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
by: Gindra, Rushin H., et al.
Published: (2025)
by: Gindra, Rushin H., et al.
Published: (2025)
INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields
by: Han, Bonian, et al.
Published: (2026)
by: Han, Bonian, et al.
Published: (2026)
DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
by: Zhu, Junchao, et al.
Published: (2026)
by: Zhu, Junchao, et al.
Published: (2026)
PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction
by: Niu, Yi, et al.
Published: (2025)
by: Niu, Yi, et al.
Published: (2025)
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)
by: Shiku, Kaito, et al.
Published: (2025)
HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction
by: Zhang, Chen, et al.
Published: (2025)
by: Zhang, Chen, et al.
Published: (2025)
CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction
by: Wang, Changfan, et al.
Published: (2026)
by: Wang, Changfan, et al.
Published: (2026)
DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics
by: Chen, Xulin, et al.
Published: (2025)
by: Chen, Xulin, et al.
Published: (2025)
ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
by: Lin, Yuxiang, et al.
Published: (2024)
by: Lin, Yuxiang, et al.
Published: (2024)
HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
by: Yi, Niu, et al.
Published: (2025)
by: Yi, Niu, et al.
Published: (2025)
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net
by: Fang, Donghai, et al.
Published: (2024)
by: Fang, Donghai, et al.
Published: (2024)
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition
by: Liu, Feng, et al.
Published: (2025)
by: Liu, Feng, et al.
Published: (2025)
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
by: Chen, Jiahe, et al.
Published: (2025)
by: Chen, Jiahe, et al.
Published: (2025)
Foveated Diffusion: Efficient Spatially Adaptive Image and Video Generation
by: Chao, Brian, et al.
Published: (2026)
by: Chao, Brian, et al.
Published: (2026)
Towards Localized Fine-Grained Control for Facial Expression Generation
by: Varanka, Tuomas, et al.
Published: (2024)
by: Varanka, Tuomas, et al.
Published: (2024)
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
by: Song, Yaxuan, et al.
Published: (2025)
by: Song, Yaxuan, et al.
Published: (2025)
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics
by: Rout, Biraaj, et al.
Published: (2024)
by: Rout, Biraaj, et al.
Published: (2024)
Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection
by: Wang, Hanyi, et al.
Published: (2026)
by: Wang, Hanyi, et al.
Published: (2026)
Similar Items
-
Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
by: Qian, Jiahe, et al.
Published: (2025) -
ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction
by: Qian, Jiahe, et al.
Published: (2025) -
Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning
by: Fang, Yaoyu, et al.
Published: (2025) -
HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
by: Weng, Ziqiao, et al.
Published: (2025) -
Completing Spatial Transcriptomics Data for Gene Expression Prediction Benchmarking
by: Ruiz, Daniela, et al.
Published: (2025)