Cover Image

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qu, Mingcheng, Wu, Yuncong, Di, Donglin, Su, Anyang, Su, Tonghua, Song, Yang, Fan, Lei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
by: Qu, Mingcheng, et al.
Published: (2025)

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
by: Qu, Mingcheng, et al.
Published: (2025)

HMVLA: Hyperbolic Multimodal Fusion for Vision-Language-Action Models
by: Wang, Kun, et al.
Published: (2026)

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
by: Qu, Mingcheng, et al.
Published: (2025)

HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
by: Byeon, Keunho, et al.
Published: (2026)

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
by: Long, Jiangkai, et al.
Published: (2025)

Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
by: Fang, Yaoyu, et al.
Published: (2026)

Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
by: Yang, Zhao, et al.
Published: (2026)

EFDiT: Efficient Fine-grained Image Generation Using Diffusion Transformer Models
by: Wang, Kun, 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)

Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
by: Fan, Lei, et al.
Published: (2024)

Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
by: Cui, Wenhai, et al.
Published: (2026)

Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values
by: Sun, Anchen, et al.
Published: (2023)

MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology
by: Hu, Susu, et al.
Published: (2026)

Gene Incremental Learning for Single-Cell Transcriptomics
by: Qi, Jiaxin, et al.
Published: (2025)

GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning
by: Wang, Kun, et al.
Published: (2026)

Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization
by: Chi, Changxi, et al.
Published: (2024)

SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
by: Li, Xiaoyu, et al.
Published: (2024)

ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
by: Liang, Yun, et al.
Published: (2024)

CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent Planning
by: Feng, He, et al.
Published: (2026)

BiTro: Bidirectional Transfer Learning Enhances Bulk and Spatial Transcriptomics Prediction in Cancer Pathological Images
by: Yu, Jingkun, et al.
Published: (2026)

A New Framework for Explainable Rare Cell Identification in Single-Cell Transcriptomics Data
by: Su, Di, et al.
Published: (2026)

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models
by: Yang, Yuncong, et al.
Published: (2024)

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
by: Lei, Xing, et al.
Published: (2024)

A Standardized Framework For Evaluating Gene Expression Generative Models
by: Rubbi, Andrea, et al.
Published: (2026)

DiTalker: A Unified DiT-based Framework for High-Quality and Speaking Styles Controllable Portrait Animation
by: Feng, He, et al.
Published: (2025)

FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model
by: Liu, Zhou, et al.
Published: (2026)

A Theoretical Analysis of Discrete Flow Matching Generative Models
by: Su, Maojiang, et al.
Published: (2025)

Anchor-MoE: A Mean-Anchored Mixture of Experts For Probabilistic Regression
by: Su, Baozhuo, et al.
Published: (2025)

Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation Prediction
by: Ruan, Jiafa, et al.
Published: (2026)

Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
by: Ramakrishnan, Kalyan, et al.
Published: (2025)

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
by: Su, Daohan, et al.
Published: (2025)

Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
by: Sousa, Rita T., et al.
Published: (2025)

TransST: Transfer Learning Embedded Spatial Factor Modeling of Spatial Transcriptomics Data
by: Liu, Shuo Shuo, et al.
Published: (2025)

A Comprehensive Evaluation of LLM Reasoning: From Single-Model to Multi-Agent Paradigms
by: Li, Yapeng, et al.
Published: (2026)

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics
by: Zahedi, Roxana, et al.
Published: (2025)

Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming
by: Lei, Xing, et al.
Published: (2024)

Benchmarking Dimensionality Reduction Techniques for Spatial Transcriptomics
by: Mahmud, Md Ishtyaq, et al.
Published: (2025)