:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Yonghao, Li, Changtao, Shu, Chi, Wu, Qingbin, Li, Hong, Xu, Chuan, Li, Tianrui, Wang, Ziqiang, Luo, Zhipeng, He, Yazhou
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Quantitative Methods
Accès en ligne:	https://arxiv.org/abs/2501.12421
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Integrative Prognostic Modeling of Breast Cancer Survival with Gene Expression and Clinical Data
par: Amevor, Robert, et autres
Publié: (2025)

Survival Analysis of Young Triple-Negative Breast Cancer Patients
par: O, M. Mehdi Owrang, et autres
Publié: (2024)

Ethnic Disparities of Female Infiltrating Duct and Lobular Breast Cancer Survival by Cancer Stage: Findings From SEER 2006-2010
par: Amartey, Ishmael Nii Amartei
Publié: (2024)

AI-Enabled Lung Cancer Prognosis
par: Darvish, Mahtab, et autres
Publié: (2024)

A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data
par: Ahn, Seungjun, et autres
Publié: (2025)

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
par: Li, Jingyuan
Publié: (2025)

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
par: Dhariwal, Naman, et autres
Publié: (2025)

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI
par: Nalela, Polycarp, et autres
Publié: (2025)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
par: Yan, Xu, et autres
Publié: (2024)

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
par: Baker, Christopher, et autres
Publié: (2026)

An Immune Infiltration-Based Risk Scoring System for Prognostic Stratification in Colorectal Adenocarcinoma
par: Ogundare, Oluwafemi
Publié: (2025)

Learning When to Look: On-Demand Keypoint-Video Fusion for Animal Behavior Analysis
par: Li, Weihan, et autres
Publié: (2026)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
par: Zhou, Huajun, et autres
Publié: (2025)

Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
par: Prezja, Fabi, et autres
Publié: (2023)

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
par: Tan, Pan, et autres
Publié: (2023)

Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction
par: Khatibi, Toktam
Publié: (2026)

Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics
par: Taieb, Ruben, et autres
Publié: (2026)

Interval-Censored Survival Analysis of Grapevine Phenology: Thermal Controls on Flowering and Fruit Ripening
par: Behnamian, Sara, et autres
Publié: (2025)

A Joint Survival Modeling and Therapy Knowledge Graph Framework to Characterize Opioid Use Disorder Trajectories
par: Wei, Mengman, et autres
Publié: (2026)

Matrix dissimilarities based on differences in moments and sparsity
par: Tuobang, Li
Publié: (2024)

Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis
par: Buturovic, Ljubomir, et autres
Publié: (2024)

Time-Varying Environmental and Polygenic Predictors of Substance Use Initiation in Youth: A Survival and Causal Modeling Study in the ABCD Cohort
par: Wei, Mengman, et autres
Publié: (2026)

Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
par: Rossi, Ivan, et autres
Publié: (2025)

A DNA-Centric Mechanism for Protein Targeting in 6mA Methylation
par: Yang, Li, et autres
Publié: (2025)

Obesity and Sociodemographic Factors in Luminal Breast Cancer
par: Anderson, Vacanti, et autres
Publié: (2026)

VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
par: Zhang, Liang, et autres
Publié: (2025)

Deep Signature: Characterization of Large-Scale Molecular Dynamics
par: Qin, Tiexin, et autres
Publié: (2024)

Data Analysis and Modeling for Transitioning Between Laboratory Methods for Detecting SARS-CoV-2 in Wastewater
par: Warns, Maria M., et autres
Publié: (2025)

Quantum Variational Transformer Model for Enhanced Cancer Classification
par: Roosan, Don, et autres
Publié: (2025)

Deep Multi-modal Breast Cancer Detection Network
par: Shah, Noor Ul Huda, et autres
Publié: (2025)

Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders
par: Chen, Ziheng, et autres
Publié: (2025)

The Emergent Aging Model: Aging as an Emergent Property of Biological Systems
par: Qin, Hong
Publié: (2024)

OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
par: Karagoz, Atahan
Publié: (2025)

End-Stage Liver Disease Comorbidities in Patients Awaiting Transplantation: Identification and Impact on Liver Transplant Survival
par: Tacherel, Julia, et autres
Publié: (2024)

Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
par: Chen, Xuexin, et autres
Publié: (2025)

SOWAHA as a Cancer Suppressor Gene Influence Metabolic Reprogramming
par: Yi, Xiaohong, et autres
Publié: (2024)

HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference
par: Zang, Zelin, et autres
Publié: (2025)

ALBATROSS: Cheap Filtration Based Geometry via Stochastic Sub-Sampling
par: Stier, Andrew J., et autres
Publié: (2025)

Sample volume as a key design parameter in affinity-based biosensors
par: Beijersbergen, Daan, et autres
Publié: (2025)

GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery
par: Ning, Jingjie, et autres
Publié: (2026)