Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Victor OK, Han, Yang, Lam, Jacqueline CK |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
by: Li, Victor OK, et al.
Published: (2025)
by: Li, Victor OK, et al.
Published: (2025)
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
by: Zhang, Kexin, et al.
Published: (2024)
by: Zhang, Kexin, et al.
Published: (2024)
Deep Backtracking Counterfactuals for Causally Compliant Explanations
by: Kladny, Klaus-Rudolf, et al.
Published: (2023)
by: Kladny, Klaus-Rudolf, et al.
Published: (2023)
Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's Network
by: Teji, Binon, et al.
Published: (2026)
by: Teji, Binon, et al.
Published: (2026)
Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks
by: Ding, Jun-En, et al.
Published: (2025)
by: Ding, Jun-En, et al.
Published: (2025)
To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning
by: Qin, Tian, et al.
Published: (2025)
by: Qin, Tian, et al.
Published: (2025)
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
by: Fatemi, Pouria, et al.
Published: (2025)
by: Fatemi, Pouria, et al.
Published: (2025)
Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data
by: Si, Weichen, et al.
Published: (2025)
by: Si, Weichen, et al.
Published: (2025)
Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
by: Ramakrishnan, Kalyan, et al.
Published: (2025)
by: Ramakrishnan, Kalyan, et al.
Published: (2025)
Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
by: Peddi, Pranay Kumar, et al.
Published: (2025)
by: Peddi, Pranay Kumar, et al.
Published: (2025)
Multi-omic Causal Discovery using Genotypes and Gene Expression
by: Asiedu, Stephen, et al.
Published: (2025)
by: Asiedu, Stephen, et al.
Published: (2025)
On the Recoverability of Causal Relations from Bulk Gene Expression Data
by: Luo, Gongxu, et al.
Published: (2026)
by: Luo, Gongxu, et al.
Published: (2026)
Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation Prediction
by: Ruan, Jiafa, et al.
Published: (2026)
by: Ruan, Jiafa, et al.
Published: (2026)
Unveiling FAD 3T : A Groundbreaking Transgenic Mouse Model for Accelerating Alzheimer's Disease Research
by: Ziying Lai, et al.
Published: (2025)
by: Ziying Lai, et al.
Published: (2025)
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
by: Kovačević, Luka, et al.
Published: (2024)
by: Kovačević, Luka, et al.
Published: (2024)
GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences
by: Yan, Jingquan, et al.
Published: (2025)
by: Yan, Jingquan, et al.
Published: (2025)
Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)
by: Khalid, Maryam, et al.
Published: (2024)
Adaptive Backtracking Line Search
by: Cavalcanti, Joao V., et al.
Published: (2024)
by: Cavalcanti, Joao V., et al.
Published: (2024)
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
by: Tabassum, Farzana, et al.
Published: (2024)
by: Tabassum, Farzana, et al.
Published: (2024)
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
by: Shiku, Kaito, et al.
Published: (2025)
by: Shiku, Kaito, et al.
Published: (2025)
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
by: Yang, Ziwei, et al.
Published: (2024)
by: Yang, Ziwei, et al.
Published: (2024)
Neuid: A Novel Neuron‐Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease
by: Ranjit Pradhan, et al.
Published: (2026)
by: Ranjit Pradhan, et al.
Published: (2026)
Backtracking Improves Generation Safety
by: Zhang, Yiming, et al.
Published: (2024)
by: Zhang, Yiming, et al.
Published: (2024)
Reinforcement Learning with Backtracking Feedback
by: Sel, Bilgehan, et al.
Published: (2026)
by: Sel, Bilgehan, et al.
Published: (2026)
Gene Dosage Sensitivity and Human Genetic Diseases
by: Reiner A. Veitia, et al.
Published: (2025)
by: Reiner A. Veitia, et al.
Published: (2025)
Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
by: Wang, Jindong, et al.
Published: (2025)
by: Wang, Jindong, et al.
Published: (2025)
Causal Gene Identification and Biomarker Prioritization in Periodontitis via Integrative Multiomics and Mendelian Randomization
by: Haokun Mo, et al.
Published: (2025)
by: Haokun Mo, et al.
Published: (2025)
Genetic Pleiotropy Across Hormone‐Related Traits and Alzheimer's Disease Reveals Sex‐Specific Relationships and Risk Genes
by: Chenyu Yang, et al.
Published: (2025)
by: Chenyu Yang, et al.
Published: (2025)
Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs
by: Kearney, Sophie, et al.
Published: (2025)
by: Kearney, Sophie, et al.
Published: (2025)
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
by: Miao, Yuwei, et al.
Published: (2025)
by: Miao, Yuwei, et al.
Published: (2025)
Not all tokens are needed(NAT): token efficient reinforcement learning
by: Sang, Hejian, et al.
Published: (2026)
by: Sang, Hejian, et al.
Published: (2026)
Identifying Susceptibility Genes and Shared Genetic Architecture for Longevity and Muscle Weakness
by: Yilong Lin, et al.
Published: (2026)
by: Yilong Lin, et al.
Published: (2026)
Bio–Nano Toolbox for Precision Alzheimer's Disease Gene Therapy
by: Yang Liu, et al.
Published: (2024)
by: Yang Liu, et al.
Published: (2024)
Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions
by: Konar, Debanjan, et al.
Published: (2025)
by: Konar, Debanjan, et al.
Published: (2025)
Candidate Biomarkers for Crohn’s Disease: Hub Genes and Regulatory miRNAs Identified by Bioinformatics Analysis
by: Han Wang, et al.
Published: (2026)
by: Han Wang, et al.
Published: (2026)
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
by: Ouyang, Xiaomin, et al.
Published: (2023)
by: Ouyang, Xiaomin, et al.
Published: (2023)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
Natural Counterfactuals With Necessary Backtracking
by: Hao, Guang-Yuan, et al.
Published: (2024)
by: Hao, Guang-Yuan, et al.
Published: (2024)
Interpretable Next-token Prediction via the Generalized Induction Head
by: Kim, Eunji, et al.
Published: (2024)
by: Kim, Eunji, et al.
Published: (2024)
Similar Items
-
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
by: Li, Victor OK, et al.
Published: (2025) -
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
by: Zhang, Kexin, et al.
Published: (2024) -
Deep Backtracking Counterfactuals for Causally Compliant Explanations
by: Kladny, Klaus-Rudolf, et al.
Published: (2023) -
Graph Attention Based Prioritization of Disease Responsible Genes from Multimodal Alzheimer's Network
by: Teji, Binon, et al.
Published: (2026) -
Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks
by: Ding, Jun-En, et al.
Published: (2025)