Bioinformatics and Genomics Applications
Research on using LLMs for biological sequence analysis, genomics, proteomics, and other bioinformatics applications with medical relevance
Bioinformatics and Genomics Applications
Research on Large Language Models in Bioinformatics and Genomics Applications
Bio-benchmark: Evaluating LLMs in Bioinformatics
A comprehensive framework for assessing language models across 30 biological tasks
LLMs Revolutionizing Biological Research
Leveraging language models to decode life's molecular language
Leveraging LLMs to Uncover Biological Causality
Zero-shot inference of causal networks without specialized training
LLMs Tackle Antimicrobial Resistance
Using generative language models for DNA sequence analysis
LLMs Transforming Biological Research
How AI is revolutionizing genomics, proteins, and precision medicine
Bridging Proteins and Language Models
Enabling structure-aware reasoning in protein science with LLMs
Bridging Biology and AI with Single-Cell Language Models
A multimodal approach for high-precision cellular analysis
QWENDY: Revolutionizing Gene Regulatory Network Analysis
Enhanced GRN inference through LLM and Transformer technology
MouseGPT: Revolutionizing Animal Behavior Analysis
AI-powered vision-language model for comprehensive mouse behavior understanding
AI-Powered Scientific Discovery
Novel approach for generating high-quality scientific hypotheses
Bridging Language Models and Cell Biology
Leveraging AI embeddings to understand cellular landscapes
Bridging Neural Worlds
Using Transformer Models to Connect In Vitro and In Vivo Neural Data
AI-Powered Chemical Reaction Simulations
Using LLMs to Accelerate Biological Modeling
DNA's Hidden Language
First evidence of linguistic properties in genetic code
Human-AI Partnership in Genome Annotation
A collaborative framework enhancing genomic research accuracy
AI-Powered Circos Plot Generation
Streamlining complex genomic data visualization with intelligent automation
Bridging Biology and AI with Cell Signaling Graphs
Introducing OmniCellTOSG: The first dataset for integrated LLM and GNN modeling of cellular networks
Predicting Protein Dynamics with AI
Novel SE(3)-Equivariant Graph Neural Networks for Protein Motion Analysis
OLAF: Conversational Bioinformatics Revolution
Natural Language Interface for Complex Life Science Analysis
Zero-Shot Biomedical Extraction with LLMs
Benchmarking OpenAI models for extracting relationships from medical text without training
scAgent: Intelligent Cell Annotation with AI
Using LLMs to revolutionize single-cell analysis across tissues
Unlocking Multi-Modal Protein Intelligence
Advancing biology with bidirectional hierarchical learning across protein sequences and structures
