Copertina

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nath, Anindita, Mwesigwa, Savannah, Dai, Yulin, Jiang, Xiaoqian, Zhao, Zhongming
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantitative Methods Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GTR-CoT: Graph Traversal as Visual Chain of Thought for Molecular Structure Recognition
di: Wang, Jingchao, et al.
Pubblicazione: (2025)

MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare
di: ElSayed, Zag, et al.
Pubblicazione: (2025)

General Intelligence-based Fragmentation (GIF): A framework for peak-labeled spectra simulation
di: Martin, Margaret R., et al.
Pubblicazione: (2025)

AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search
di: Song, Xiaozhuang, et al.
Pubblicazione: (2025)

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
di: Poggi, Aurora, et al.
Pubblicazione: (2025)

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference
di: Hu, Xuanning, et al.
Pubblicazione: (2026)

Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
di: Dai, Wenfeng, et al.
Pubblicazione: (2025)

From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
di: Zhao, Chuang, et al.
Pubblicazione: (2026)

Automating Exploratory Proteomics Research via Language Models
di: Ding, Ning, et al.
Pubblicazione: (2024)

Automating Exploratory Multiomics Research via Language Models
di: Qu, Shang, et al.
Pubblicazione: (2025)

Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry
di: Ebrahimi, Shiva, et al.
Pubblicazione: (2024)

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

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
di: Tang, Jianting, et al.
Pubblicazione: (2025)

Predicting T-Cell Receptor Specificity
di: Tu, Tengyao, et al.
Pubblicazione: (2024)

ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
di: Park, Jueon, et al.
Pubblicazione: (2026)

ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
di: Ge, Yutang, et al.
Pubblicazione: (2026)

Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
di: Yan, Zhanglu, et al.
Pubblicazione: (2024)

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
di: Zhou, Huajun, et al.
Pubblicazione: (2024)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
di: Feng, Tianshu, et al.
Pubblicazione: (2024)

Artificial Intelligence for Microbiology and Microbiome Research
di: Wang, Xu-Wen, et al.
Pubblicazione: (2024)

Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
di: Wang, Runchen, et al.
Pubblicazione: (2025)

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
di: Li, Ziwen, et al.
Pubblicazione: (2025)

PPI-Net connects molecular protein interactions to functional processes in disease
di: Higgins, Kyle, et al.
Pubblicazione: (2026)

BDPM: A Machine Learning-Based Feature Extractor for Parkinson's Disease Classification via Gut Microbiota Analysis
di: Yu, Bo, et al.
Pubblicazione: (2025)

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

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations
di: Higgins, Kyle, et al.
Pubblicazione: (2024)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
di: Wang, Zhiyu, et al.
Pubblicazione: (2025)

tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
di: Fang, Xing, et al.
Pubblicazione: (2024)

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
di: Pillai, Nisha, et al.
Pubblicazione: (2024)

VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
di: Marathe, Vishwajeet, et al.
Pubblicazione: (2024)

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

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
di: Wang, Li, et al.
Pubblicazione: (2024)

COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations
di: Raheem, Muhammad Akmal, et al.
Pubblicazione: (2024)

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

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes
di: Fathi, Anas El, et al.
Pubblicazione: (2024)

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

Pre-trained protein language model for codon optimization
di: Pathak, Shashank, et al.
Pubblicazione: (2024)

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

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

Deep Signature: Characterization of Large-Scale Molecular Dynamics
di: Qin, Tiexin, et al.
Pubblicazione: (2024)