STProtein: predicting spatial protein expression from multi-omics data
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Zhaorui, Yuan, Yingfang, Hu, Lei, Pang, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm
by: Song, Junhao, et al.
Published: (2024)
by: Song, Junhao, et al.
Published: (2024)
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
by: Wu, You, et al.
Published: (2024)
by: Wu, You, et al.
Published: (2024)
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
by: Yuan, Yingfang, et al.
Published: (2024)
by: Yuan, Yingfang, et al.
Published: (2024)
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
by: Si, Qi, et al.
Published: (2026)
by: Si, Qi, et al.
Published: (2026)
Benchmarking AI scientists for omics data driven biological discovery
by: Luo, Erpai, et al.
Published: (2025)
by: Luo, Erpai, et al.
Published: (2025)
DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
by: Pan, Liangrui, et al.
Published: (2023)
by: Pan, Liangrui, et al.
Published: (2023)
Crypto-ncRNA: a bio-inspired post-quantum cryptographic primitive exploiting RNA folding complexity
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
Quantum-enhanced long short-term memory with attention for spatial permeability prediction in oilfield reservoirs
by: Zhang, Muzhen, et al.
Published: (2026)
by: Zhang, Muzhen, et al.
Published: (2026)
Multimodal contrastive learning for spatial gene expression prediction using histology images
by: Min, Wenwen, et al.
Published: (2024)
by: Min, Wenwen, et al.
Published: (2024)
Natural Language based Specification and Verification
by: Li, Zhaorui, et al.
Published: (2026)
by: Li, Zhaorui, et al.
Published: (2026)
MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
by: Dip, Sajib Acharjee, et al.
Published: (2025)
by: Dip, Sajib Acharjee, et al.
Published: (2025)
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets
by: Liu, Tianyi, et al.
Published: (2024)
by: Liu, Tianyi, et al.
Published: (2024)
Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning
by: Guo, Chenyou, et al.
Published: (2026)
by: Guo, Chenyou, et al.
Published: (2026)
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
by: Ren, Yingxuan, et al.
Published: (2024)
by: Ren, Yingxuan, et al.
Published: (2024)
A multi-locus predictiveness curve and its summary assessment for genetic risk prediction
by: Wei, Changshuai, et al.
Published: (2025)
by: Wei, Changshuai, et al.
Published: (2025)
Multi-modal expressive personality recognition in data non-ideal audiovisual based on multi-scale feature enhancement and modal augment
by: Kong, Weixuan, et al.
Published: (2025)
by: Kong, Weixuan, et al.
Published: (2025)
COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models
by: Ren, Yuchen, et al.
Published: (2024)
by: Ren, Yuchen, et al.
Published: (2024)
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
by: Spooner, Annette, et al.
Published: (2024)
by: Spooner, Annette, et al.
Published: (2024)
Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction
by: Shanxuan, He, et al.
Published: (2025)
by: Shanxuan, He, et al.
Published: (2025)
Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learning
by: Liu, Hui, et al.
Published: (2024)
by: Liu, Hui, et al.
Published: (2024)
CrossGP: Cross-Day Glucose Prediction Excluding Physiological Information
by: Zhou, Ziyi, et al.
Published: (2024)
by: Zhou, Ziyi, et al.
Published: (2024)
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
by: Ye, Jianan, et al.
Published: (2024)
by: Ye, Jianan, et al.
Published: (2024)
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
by: Jennings, Charlotte, et al.
Published: (2025)
by: Jennings, Charlotte, et al.
Published: (2025)
X-Restormer++: 1st Place Solution for the UG2+ CVPR 2026 All-Weather Restoration Challenge
by: Pan, Youwei, et al.
Published: (2026)
by: Pan, Youwei, et al.
Published: (2026)
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
by: Wang, Beibei, et al.
Published: (2025)
by: Wang, Beibei, et al.
Published: (2025)
Optimal message passing for molecular prediction is simple, attentive and spatial
by: Castaneda-Leautaud, Alma C., et al.
Published: (2025)
by: Castaneda-Leautaud, Alma C., et al.
Published: (2025)
Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation
by: Giri, Nabin, et al.
Published: (2026)
by: Giri, Nabin, et al.
Published: (2026)
Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)
by: Zhang, Danyang, et al.
Published: (2025)
Self-supervised learning on gene expression data
by: Dradjat, Kevin, et al.
Published: (2025)
by: Dradjat, Kevin, et al.
Published: (2025)
TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
by: Yang, Zhichao, et al.
Published: (2026)
by: Yang, Zhichao, et al.
Published: (2026)
Rethinking Multi-domain Generalization with A General Learning Objective
by: Tan, Zhaorui, et al.
Published: (2024)
by: Tan, Zhaorui, et al.
Published: (2024)
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment
by: Liu, Tianyi, et al.
Published: (2024)
by: Liu, Tianyi, et al.
Published: (2024)
scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning
by: Liu, Wuchao, et al.
Published: (2025)
by: Liu, Wuchao, et al.
Published: (2025)
Needle in the Repo: A Benchmark for Maintainability in AI-Generated Repository Edits
by: Zhu, Haichao, et al.
Published: (2026)
by: Zhu, Haichao, et al.
Published: (2026)
Benchmarking LLM-based agents for single-cell omics analysis
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Diffusion Model-based Reinforcement Learning for Version Age of Information Scheduling: Average and Tail-Risk-Sensitive Control
by: Pan, Haoyuan, et al.
Published: (2026)
by: Pan, Haoyuan, et al.
Published: (2026)
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
by: Sarparast, Sina, et al.
Published: (2024)
by: Sarparast, Sina, et al.
Published: (2024)
Constructing coherent spatial memory in LLM agents through graph rectification
by: Zhang, Puzhen, et al.
Published: (2025)
by: Zhang, Puzhen, et al.
Published: (2025)
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs
by: Fuchs, Lukas, et al.
Published: (2024)
by: Fuchs, Lukas, et al.
Published: (2024)
Similar Items
-
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm
by: Song, Junhao, et al.
Published: (2024) -
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
by: Wu, You, et al.
Published: (2024) -
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
by: Yuan, Yingfang, et al.
Published: (2024) -
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
by: Si, Qi, et al.
Published: (2026) -
Benchmarking AI scientists for omics data driven biological discovery
by: Luo, Erpai, et al.
Published: (2025)