Copertina

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Ying, Xie, Jiajing, Lin, Yuxiang, Song, Yuhang, Yang, Wenxian, Yu, Rongshan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ProtSolM: Protein Solubility Prediction with Multi-modal Features
di: Tan, Yang, et al.
Pubblicazione: (2024)

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion
di: Rong, Dingyi, et al.
Pubblicazione: (2024)

Deep Multi-modal Breast Cancer Detection Network
di: Shah, Noor Ul Huda, et al.
Pubblicazione: (2025)

SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
di: Khan, Shakib, et al.
Pubblicazione: (2025)

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction
di: Wang, Changfan, et al.
Pubblicazione: (2026)

SurvHive: a package to consistently access multiple survival-analysis packages
di: Birolo, Giovanni, et al.
Pubblicazione: (2025)

BarcodeMamba: State Space Models for Biodiversity Analysis
di: Gao, Tiancheng, et al.
Pubblicazione: (2024)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
di: Ma, Jun, et al.
Pubblicazione: (2023)

Prediction of Distant Metastasis in Head and Neck Cancer Patients Using Tumor and Peritumoral Multi-Modal Deep Learning
di: Tong, Nuo, et al.
Pubblicazione: (2025)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction
di: Guo, Peijin, et al.
Pubblicazione: (2025)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
di: Xu, Bohao, et al.
Pubblicazione: (2024)

MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
di: Li, Shuqi, et al.
Pubblicazione: (2024)

MDAgent: A Multi-Agent Framework for End-to-End Molecular Dynamics Research
di: Ma, Zhenyu, et al.
Pubblicazione: (2026)

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
di: Jaume, Guillaume, et al.
Pubblicazione: (2023)

Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics
di: Taieb, Ruben, et al.
Pubblicazione: (2026)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
di: Xu, Bohao, et al.
Pubblicazione: (2024)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
di: Xie, HongXin, et al.
Pubblicazione: (2025)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
di: Yin, Song, et al.
Pubblicazione: (2023)

LLM$^3$-DTI: A Large Language Model and Multi-modal data co-powered framework for Drug-Target Interaction prediction
di: Zhang, Yuhao, et al.
Pubblicazione: (2025)

ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction
di: Gallagher-Syed, Amaya, et al.
Pubblicazione: (2026)

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots
di: Liu, Tianyu, et al.
Pubblicazione: (2025)

Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging
di: Schwab, Evan, et al.
Pubblicazione: (2024)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
di: Dhariwal, Naman, et al.
Pubblicazione: (2025)

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI
di: R., Ammu, et al.
Pubblicazione: (2024)

A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data
di: Ahn, Seungjun, et al.
Pubblicazione: (2025)

Comparing fine-grained and coarse-grained object detection for ecology
di: Tam, Jess, et al.
Pubblicazione: (2024)

Clinically-aligned Multi-modal Chest X-ray Classification
di: Sloan, Phillip, et al.
Pubblicazione: (2025)

Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak
di: Liu, Hong, et al.
Pubblicazione: (2025)

AFD-INSTRUCTION: A Comprehensive Antibody Instruction Dataset with Functional Annotations for LLM-Based Understanding and Design
di: Luo, Ling, et al.
Pubblicazione: (2026)

Enhancing Antimicrobial Molecule Prediction via Dynamic Routing Capsule Networks and Multi-Source Molecular Embeddings
di: He, R.
Pubblicazione: (2025)

Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss
di: Xie, HongXin, et al.
Pubblicazione: (2025)

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
di: Song, Yuehua, et al.
Pubblicazione: (2025)

RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
di: Wang, Yiming, et al.
Pubblicazione: (2023)

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
di: Wang, Zhiwei, et al.
Pubblicazione: (2024)

MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
di: Eckmann, Peter, et al.
Pubblicazione: (2024)

WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities
di: Chandler, Talon, et al.
Pubblicazione: (2024)

SiLVi: Simple Interface for Labeling Video Interactions
di: Kanbertay, Ozan, et al.
Pubblicazione: (2025)

Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
di: Mehrizi, Rahil, et al.
Pubblicazione: (2023)

3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis
di: Masera, Marco, et al.
Pubblicazione: (2025)