:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jueqi, Jacokes, Zachary, Van Horn, John Darrell, Schatz, Michael C., Pelphrey, Kevin A., Venkataraman, Archana
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Quantitative Methods
Online Access:	https://arxiv.org/abs/2508.18303
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data
by: Berjaoui, Ahmad, et al.
Published: (2024)

Association in Facial Phenotype, Gene, Disease: A Dataset for Explainable Rare Genetic Diseases Diagnosis
by: Song, Jie, et al.
Published: (2025)

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI
by: Nalela, Polycarp, et al.
Published: (2025)

Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders
by: Chen, Hongzhuo, et al.
Published: (2026)

A Weighted U Statistic for Genetic Association Analyses of Sequencing Data
by: Wei, Changshuai, et al.
Published: (2015)

Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
by: Schwehr, Zachary
Published: (2024)

Decoding Translation-Related Functional Sequences in 5'UTRs Using Interpretable Deep Learning Models
by: Lin, Yuxi, et al.
Published: (2025)

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
by: Sinclair, Matthew, et al.
Published: (2025)

GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design
by: Flynn, Noah
Published: (2026)

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium
by: Ren, Yuanfang, et al.
Published: (2025)

Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index
by: Nagasaka, Toru, et al.
Published: (2024)

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
by: Wei, Yuxiang, et al.
Published: (2024)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data
by: Chen, Aokun, et al.
Published: (2024)

Assessing the Utility of Large Language Models for Phenotype-Driven Gene Prioritization in Rare Genetic Disorder Diagnosis
by: Kim, Junyoung, et al.
Published: (2024)

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment
by: Nasir, Esha Sadia, et al.
Published: (2025)

Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
by: Fu, Cong, et al.
Published: (2025)

IRONMAP: Iron Network Mapping and Analysis Protocol for Detecting Over-Time Brain Iron Abnormalities in Neurological Disease
by: Reeves, Jack A., et al.
Published: (2025)

Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
by: Yu, Kevin, et al.
Published: (2024)

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
by: Muneer, Amgad, et al.
Published: (2025)

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
by: Chi, Changxi, et al.
Published: (2025)

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
by: Abbaszadeh, Alireza, et al.
Published: (2025)

Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)

PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction
by: Tan, Dayu, et al.
Published: (2025)

BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
by: Lei, Wanlu, et al.
Published: (2023)

WildSAT: Learning Satellite Image Representations from Wildlife Observations
by: Daroya, Rangel, et al.
Published: (2024)

E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
by: Xie, Jiacheng, et al.
Published: (2025)

AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling
by: Wang, Zhenyu, et al.
Published: (2026)

Identifying Cocoa Pollinators: A Deep Learning Dataset
by: Xu, Wenxiu, et al.
Published: (2024)

Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
by: Khan, Asma Sadia, et al.
Published: (2025)

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
by: Li, Kevin, et al.
Published: (2025)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
by: Gao, Ziqi, et al.
Published: (2026)

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024)

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
by: Zhou, Jingbo, et al.
Published: (2024)

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
by: Prasanna, Shivika, et al.
Published: (2024)

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
by: Tan, Yang, et al.
Published: (2024)

Protein Structure Tokenization via Geometric Byte Pair Encoding
by: Sun, Michael, et al.
Published: (2025)

How high-resolution agent-based models can improve fundamental insights in tissue development and cell culturing methods
by: Van Liedekerke, Paul, et al.
Published: (2026)

TriAgent: Automated Biomarker Discovery with Deep Research Grounding for Triage in Acute Care by LLM-Based Multi-Agent Collaboration
by: Delikoyun, Kerem, et al.
Published: (2025)

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
by: Chen, Zhuo, et al.
Published: (2025)

Towards Less Biased Data-driven Scoring with Deep Learning-Based End-to-end Database Search in Tandem Mass Spectrometry
by: Yu, Yonghan, et al.
Published: (2024)