Cover Image

Classification of autoimmune diseases from Peripheral blood TCR repertoires by multimodal multi-instance learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ruihao, chen, Mao, Ye, Fei, Meng, Dandan, Huang, Yixuan, Liu, Xiao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Genomics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
by: Sadeghi, Alireza, et al.
Published: (2025)

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective
by: Xiao, Meng, et al.
Published: (2025)

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
by: Li, Cong, et al.
Published: (2024)

Survey and Improvement Strategies for Gene Prioritization with Large Language Models
by: Neeley, Matthew, et al.
Published: (2025)

Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization
by: Zhang, Weiliang, et al.
Published: (2024)

Beyond Conditional Computation: Retrieval-Augmented Genomic Foundation Models with Gengram
by: Xu, Huinan, et al.
Published: (2026)

EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations
by: Lin, Zekai, et al.
Published: (2025)

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
by: Li, Siyuan, et al.
Published: (2024)

scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
by: Huang, Yu-An, et al.
Published: (2025)

scReader: Prompting Large Language Models to Interpret scRNA-seq Data
by: Li, Cong, et al.
Published: (2024)

GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes
by: Qin, Lina, et al.
Published: (2025)

A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization
by: Liu, Tianyu, et al.
Published: (2026)

eccDNAMamba: A Pre-Trained Model for Ultra-Long eccDNA Sequence Analysis
by: Liu, Zhenke, et al.
Published: (2025)

LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization
by: Lee, Jaeyeon, et al.
Published: (2025)

TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction
by: Mu, Xuechen, et al.
Published: (2024)

Soft Graph Clustering for single-cell RNA Sequencing Data
by: Xu, Ping, et al.
Published: (2025)

Deciphering genomic codes using advanced NLP techniques: a scoping review
by: Cheng, Shuyan, et al.
Published: (2024)

GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis
by: Liu, Haoyang, et al.
Published: (2024)

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
by: Xu, Ping, et al.
Published: (2024)

GeneSUM: Large Language Model-based Gene Summary Extraction
by: Chen, Zhijian, et al.
Published: (2024)

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
by: Gao, Yiming, et al.
Published: (2026)

CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data
by: Hsieh, Ping-Han, et al.
Published: (2024)

Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees
by: Huynh, Nicolas, et al.
Published: (2026)

DeepVRegulome: DNABERT-based deep-learning framework for predicting the functional impact of short genomic variants on the human regulome
by: Dutta, Pratik, et al.
Published: (2025)

DNABERT-2: Fine-Tuning a Genomic Language Model for Colorectal Gene Enhancer Classification
by: King, Darren, et al.
Published: (2025)

TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification
by: Aakur, Sathyanarayanan, et al.
Published: (2024)

A step toward a reinforcement learning de novo genome assembler
by: Padovani, Kleber, et al.
Published: (2021)

A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
by: Polepalli, Vinil
Published: (2025)

When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes
by: Popova, Marina, et al.
Published: (2025)

NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction
by: Li, Zhongmin, et al.
Published: (2025)

A Linear-Transformer Hybrid for SNP-Based Genotype-to-Phenotype Prediction in Grapevine
by: Wang, Yibin, et al.
Published: (2026)

CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation
by: Demir, Andac, et al.
Published: (2026)

Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
by: Roy, Aurora Lithe, et al.
Published: (2024)

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
by: Amirabad, Azim Dehghani, et al.
Published: (2025)

Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
by: Refahi, Mohammadsaleh, et al.
Published: (2025)

scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis
by: Xu, Ping, et al.
Published: (2025)

Embed-Search-Align: DNA Sequence Alignment using Transformer Models
by: Holur, Pavan, et al.
Published: (2023)

Set-Aggregated Genome Embeddings for Microbiome Abundance Prediction
by: Kim, Younhun, et al.
Published: (2026)

FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313
by: Ge, Aaron, et al.
Published: (2024)

CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift
by: Hasan, Najmul
Published: (2026)