Copertina

Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Moghaddam, Arya Hadizadeh, Kerdabadi, Mohsen Nayebi, Zhong, Cuncong, Yao, Zijun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Genomics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
di: Moghaddam, Arya Hadizadeh, et al.
Pubblicazione: (2024)

User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
di: Moghaddam, Arya Hadizadeh, et al.
Pubblicazione: (2026)

Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
di: Kerdabadi, Mohsen Nayebi, et al.
Pubblicazione: (2025)

SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
di: Kerdabadi, Mohsen Nayebi, et al.
Pubblicazione: (2024)

Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
di: Kerdabadi, Mohsen Nayebi, et al.
Pubblicazione: (2026)

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
di: Moghaddam, Arya Hadizadeh, et al.
Pubblicazione: (2026)

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

CASPER: Cross-modal Alignment of Spatial and single-cell Profiles for Expression Recovery
di: Kumar, Amit, et al.
Pubblicazione: (2025)

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

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data
di: Liu, Haoyang, et al.
Pubblicazione: (2024)

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

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

Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice
di: Yang, Ruiqi, et al.
Pubblicazione: (2025)

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

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

Soft-Evidence Fused Graph Neural Network for Cancer Driver Gene Identification across Multi-View Biological Graphs
di: Chen, Bang, et al.
Pubblicazione: (2025)

Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
di: Zheng, Huili, et al.
Pubblicazione: (2024)

BSM: Small but Powerful Biological Sequence Model for Genes and Proteins
di: Xiang, Weixi, et al.
Pubblicazione: (2024)

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

A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches
di: Bontonou, Myriam, et al.
Pubblicazione: (2024)

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

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

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
di: Liu, Haoyang, et al.
Pubblicazione: (2025)

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

Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN
di: Refahi, Mohammad Saleh, et al.
Pubblicazione: (2025)

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

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
di: Gong, Jing, et al.
Pubblicazione: (2023)

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data
di: Fang, Donghai, et al.
Pubblicazione: (2024)

Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
di: Saggi, Mandeep Kaur, et al.
Pubblicazione: (2024)

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset
di: Pan, Liangrui, et al.
Pubblicazione: (2025)

Quantum-Boosted High-Fidelity Deep Learning
di: Wang, Feng-ao, et al.
Pubblicazione: (2025)

Learning to Discover Regulatory Elements for Gene Expression Prediction
di: Su, Xingyu, et al.
Pubblicazione: (2025)

CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
di: Baek, Seungheun, et al.
Pubblicazione: (2024)

SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
di: Xing, Zheming, et al.
Pubblicazione: (2026)

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
di: Zhao, Suyuan, et al.
Pubblicazione: (2025)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
di: Min, Wenwen, et al.
Pubblicazione: (2024)

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

Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles
di: Akpinar, Emine, et al.
Pubblicazione: (2025)

Missing-Modality-Aware Graph Neural Network for Cancer Classification
di: Tabakhi, Sina, et al.
Pubblicazione: (2025)

Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
di: Li, Huifa, et al.
Pubblicazione: (2024)