Complexity-Informed Causal Modeling of Neurodevelopmental Trajectories in Pediatric High-Grade Gliomas: Divergences from Neural Stem Cell Signatures
Fuente:
arXiv
Saved in:
| Main Authors: | Uthamacumaran, Abicumaran, Zenil, Hector |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neurosymbolic Learning for Predicting Cell Fate Decisions from Longitudinal Single Cell Transcriptomics in Paediatric Acute Myeloid Leukemia
by: Uthamacumaran, Abicumaran, et al.
Published: (2025)
by: Uthamacumaran, Abicumaran, et al.
Published: (2025)
Patterns in Individual Blood Count Trajectories in the UK Biobank Characterise Disease-Specific Signatures and Anticipate Pan-Cancer Risk
by: Nagar, Riya, et al.
Published: (2026)
by: Nagar, Riya, et al.
Published: (2026)
Exhaustive Investigation of CBC-Derived Biomarker Ratios for Clinical Outcome Prediction: The RDW-to-MCHC Ratio as a Novel Mortality Predictor in Critical Care
by: Leontiev, Dmytro, et al.
Published: (2025)
by: Leontiev, Dmytro, et al.
Published: (2025)
Integrative Adaptive Indexes from Noisy Routine Haematological Markers can Predict and Discriminate Health Status and Biological Age
by: Hernández-Orozco, Santiago, et al.
Published: (2023)
by: Hernández-Orozco, Santiago, et al.
Published: (2023)
Similarity Analysis of Blood Count Reference Intervals Across Continents Reveals No Reproducible Population or Geography-Linked Structure and Supports Personalised Values
by: Wu, Kunlin, et al.
Published: (2025)
by: Wu, Kunlin, et al.
Published: (2025)
Multi-omic Enriched Blood-Derived Digital Signatures Reveal Mechanistic and Confounding Disease Clusters for Differential Diagnosis
by: Liu, Bolin, et al.
Published: (2025)
by: Liu, Bolin, et al.
Published: (2025)
AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics
by: Uthamacumaran, Abicumaran, et al.
Published: (2025)
by: Uthamacumaran, Abicumaran, et al.
Published: (2025)
Systematic Reconstruction of Disease Networks from Longitudinal Blood Data for Causal Discovery and Intervention Analysis
by: Montealegre, David Patrick Duys, et al.
Published: (2025)
by: Montealegre, David Patrick Duys, et al.
Published: (2025)
XGBoost-Powered Digital Twins Leverage Routine Blood Tests for Early Detection of Cancer and Cardiovascular Disease
by: John, Lo Kai Shun, et al.
Published: (2025)
by: John, Lo Kai Shun, et al.
Published: (2025)
Deep Learning-based Feature Discovery for Decoding Phenotypic Plasticity in Pediatric High-Grade Gliomas Single-Cell Transcriptomics
by: Uthamacumaran, Abicumaran
Published: (2025)
by: Uthamacumaran, Abicumaran
Published: (2025)
Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
by: Balcerak, Michal, et al.
Published: (2023)
by: Balcerak, Michal, et al.
Published: (2023)
CITS: Nonparametric Statistical Causal Modeling for High-Resolution Neural Time Series
by: Biswas, Rahul, et al.
Published: (2025)
by: Biswas, Rahul, et al.
Published: (2025)
NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg
by: Baena, Nashira, et al.
Published: (2025)
by: Baena, Nashira, et al.
Published: (2025)
Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
by: Ahmadi, Nazanin, et al.
Published: (2024)
by: Ahmadi, Nazanin, et al.
Published: (2024)
Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
by: Fang, Zijie, et al.
Published: (2023)
by: Fang, Zijie, et al.
Published: (2023)
Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural Networks
by: Chiu, Ching-En, et al.
Published: (2024)
by: Chiu, Ching-En, et al.
Published: (2024)
Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions
by: Chiu, Ching-En, et al.
Published: (2024)
by: Chiu, Ching-En, et al.
Published: (2024)
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2024)
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2024)
Accelerating Discovery of Novel and Bioactive Ligands With Pharmacophore-Informed Generative Models
by: Xie, Weixin, et al.
Published: (2024)
by: Xie, Weixin, et al.
Published: (2024)
A Joint Survival Modeling and Therapy Knowledge Graph Framework to Characterize Opioid Use Disorder Trajectories
by: Wei, Mengman, et al.
Published: (2026)
by: Wei, Mengman, et al.
Published: (2026)
Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
by: De Carli, Stefano, et al.
Published: (2025)
by: De Carli, Stefano, et al.
Published: (2025)
Trajectory Inference for Single Cell Omics
by: Hutton, Alexandre, et al.
Published: (2025)
by: Hutton, Alexandre, et al.
Published: (2025)
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children
by: Wei, Mengman, et al.
Published: (2025)
by: Wei, Mengman, et al.
Published: (2025)
Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks
by: Pungitore, Sarah, et al.
Published: (2025)
by: Pungitore, Sarah, et al.
Published: (2025)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
Time-Varying Environmental and Polygenic Predictors of Substance Use Initiation in Youth: A Survival and Causal Modeling Study in the ABCD Cohort
by: Wei, Mengman, et al.
Published: (2026)
by: Wei, Mengman, et al.
Published: (2026)
TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration
by: Wang, Qipeng, et al.
Published: (2025)
by: Wang, Qipeng, et al.
Published: (2025)
GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models
by: Cheng, Jiabei, et al.
Published: (2024)
by: Cheng, Jiabei, et al.
Published: (2024)
Dose-Dependent Cardiac Complexity Changes in Children Following Prenatal Glucocorticoid Exposure: Complementary Evidence from Multiscale Entropy Analysis and ECG Foundation Models
by: Garnier, Nicolas B., et al.
Published: (2026)
by: Garnier, Nicolas B., et al.
Published: (2026)
Realizing Common Random Numbers: Event-Keyed Hashing for Causally Valid Stochastic Models
by: Buffalo, Vince, et al.
Published: (2026)
by: Buffalo, Vince, et al.
Published: (2026)
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
by: Sakalyan, Kristiyan, et al.
Published: (2025)
by: Sakalyan, Kristiyan, et al.
Published: (2025)
Deciphering Cell Systems: Machine Learning Perspectives And Approaches For The Analysis Of Single-Cell Data
by: Yang, Yongjian
Published: (2024)
by: Yang, Yongjian
Published: (2024)
Direct Evidence of Apex-Hypha Interactions During Vegetative Growth of Fungal Thallus via Comprehensive Network and Trajectory Extraction
by: Chassereau, Thibault, et al.
Published: (2025)
by: Chassereau, Thibault, et al.
Published: (2025)
Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
by: Lang, Iris, et al.
Published: (2025)
by: Lang, Iris, et al.
Published: (2025)
Inverse resolution of spatially varying diffusion coefficient using Physics-Informed neural networks
by: Thakur, Sukirt, et al.
Published: (2024)
by: Thakur, Sukirt, et al.
Published: (2024)
Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
by: Lavery, William, et al.
Published: (2026)
by: Lavery, William, et al.
Published: (2026)
Optical Inversion and Spectral Unmixing of Spectroscopic Photoacoustic Images with Physics-Informed Neural Networks
by: Ter Martirosyan, Sarkis, et al.
Published: (2026)
by: Ter Martirosyan, Sarkis, et al.
Published: (2026)
Subspace Tensor Orthogonal Rotation Model (STORM) for Batch Alignment, Cell Type Deconvolution, and Gene Imputation in Spatial Transcriptomic Data
by: Cottrell, Sean, et al.
Published: (2026)
by: Cottrell, Sean, et al.
Published: (2026)
SynCell: Contextualized Drug Synergy Prediction
by: Peng, Keqin, et al.
Published: (2025)
by: Peng, Keqin, et al.
Published: (2025)
Dynamical Inference of Cell Size Regulation Parameters
by: Nieto, Cesar, et al.
Published: (2025)
by: Nieto, Cesar, et al.
Published: (2025)
Similar Items
-
Neurosymbolic Learning for Predicting Cell Fate Decisions from Longitudinal Single Cell Transcriptomics in Paediatric Acute Myeloid Leukemia
by: Uthamacumaran, Abicumaran, et al.
Published: (2025) -
Patterns in Individual Blood Count Trajectories in the UK Biobank Characterise Disease-Specific Signatures and Anticipate Pan-Cancer Risk
by: Nagar, Riya, et al.
Published: (2026) -
Exhaustive Investigation of CBC-Derived Biomarker Ratios for Clinical Outcome Prediction: The RDW-to-MCHC Ratio as a Novel Mortality Predictor in Critical Care
by: Leontiev, Dmytro, et al.
Published: (2025) -
Integrative Adaptive Indexes from Noisy Routine Haematological Markers can Predict and Discriminate Health Status and Biological Age
by: Hernández-Orozco, Santiago, et al.
Published: (2023) -
Similarity Analysis of Blood Count Reference Intervals Across Continents Reveals No Reproducible Population or Geography-Linked Structure and Supports Personalised Values
by: Wu, Kunlin, et al.
Published: (2025)