Cover Image

DYNA: Disease-Specific Language Model for Variant Pathogenicity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhan, Huixin, Zhang, Zijun
Format:	Preprint
Published:	2024
Subjects:	Genomics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding
by: Zhan, Huixin, et al.
Published: (2024)

EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations
by: Lin, Zekai, 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)

Pan-infection Foundation Framework Enables Multiple Pathogen Prediction
by: Zhang, Lingrui, et al.
Published: (2024)

Bridging Large Language Models and Single-Cell Transcriptomics in Dissecting Selective Motor Neuron Vulnerability
by: Jiang, Douglas, et al.
Published: (2025)

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

Preparing to Integrate Generative Pretrained Transformer Series 4 models into Genetic Variant Assessment Workflows: Assessing Performance, Drift, and Nondeterminism Characteristics Relative to Classifying Functional Evidence in Literature
by: Aronson, Samuel J., et al.
Published: (2023)

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

Nano Bio-Agents (NBA): Small Language Model Agents for Genomics
by: Hong, George, et al.
Published: (2025)

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

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

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

MethConvTransformer: A Deep Learning Framework for Cross-Tissue Alzheimer's Disease Detection
by: Qu, Gang, et al.
Published: (2026)

Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
by: Moghaddam, Arya Hadizadeh, 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)

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

SAE-RNA: A Sparse Autoencoder Model for Interpreting RNA Language Model Representations
by: Kim, Taehan, et al.
Published: (2025)

GeneZip: Region-Aware Compression for Long Context DNA Modeling
by: Zhao, Jianan, et al.
Published: (2026)

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

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

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

Celler:A Genomic Language Model for Long-Tailed Single-Cell Annotation
by: Zhao, Huan, et al.
Published: (2025)

Long-range gene expression prediction with token alignment of large language model
by: Honig, Edouardo, et al.
Published: (2024)

JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
by: Larey, Ariel, et al.
Published: (2026)

Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics
by: Wood, Matthew, et al.
Published: (2025)

GenoBERT: A Language Model for Accurate Genotype Imputation
by: Huang, Lei, 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)

Systematic Evaluation of Single-Cell Foundation Model Interpretability Reveals Attention Captures Co-Expression Rather Than Unique Regulatory Signal
by: Kendiukhov, Ihor
Published: (2026)

Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
by: Chen, Xingyu, et al.
Published: (2025)

Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder
by: Powadi, Anirudha, et al.
Published: (2024)

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
by: Dong, Zehao, et al.
Published: (2024)

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

scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
by: Xu, Ping, et al.
Published: (2025)

Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging
by: Li, Huifa, et al.
Published: (2025)

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

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics
by: Duan, ChenRui, et al.
Published: (2024)

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

Knowledge-guided Contextual Gene Set Analysis Using Large Language Models
by: Wang, Zhizheng, et al.
Published: (2025)

Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis
by: Cara, Premt, et al.
Published: (2025)

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