arXiv Quantitative Biology @arxiv_bio@qoto.org

A Combined Experimental and Mathematical Study of The Evolution of Microbial Community Composed of Interacting Staphylococcus Strains https://arxiv.org/abs/2402.04939 #qbioPE

Artificial Intelligence for EEG Prediction: Applied Chaos Theory https://arxiv.org/abs/2402.03316 #qbioNC #mathDS #nlinCD #csAI

A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System https://arxiv.org/abs/2402.03397 #qbioQM #eessIV

Use of a Golden Gate plasmid set enabling scarless MoClo-compatible transcription unit assembly https://arxiv.org/abs/2402.03410 #qbioOT

Basic principles drive self-organization of brain-like connectivity structure https://arxiv.org/abs/2402.03529 #qbioNC #mathDS

Effective Protein-Protein Interaction Exploration with PPIretrieval https://arxiv.org/abs/2402.03675 #qbioBM #csAI #csCE #csLG

MolTC: Towards Molecular Relational Modeling In Language Models https://arxiv.org/abs/2402.03781 #qbioQM #csAI #csLG

Learning immune receptor representations with protein language models https://arxiv.org/abs/2402.03823 #qbioQM

Stochastic matrix metapopulation models with fast migration: re-scaling survival to the fast scale https://arxiv.org/abs/2402.03888 #qbioPE #mathDS

Mutant fate in spatially structured populations on graphs: connecting models to experiments https://arxiv.org/abs/2402.03967 #qbioPE #qbioQM

Algebraic identifiability of partial differential equation models https://arxiv.org/abs/2402.04241 #qbioQM #eessSY #mathAP #csSC #csSY

Unveiling Molecular Moieties through Hierarchical Graph Explainability https://arxiv.org/abs/2402.01744 #qbioQM #qbioMN #csAI #csLG

PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks https://arxiv.org/abs/2402.01809 #qbioGN #csLG

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing https://arxiv.org/abs/2402.01829 #qbioBM #csCL #csLG

Pairwise Rearrangement is Fixed-Parameter Tractable in the Single Cut-and-Join Model https://arxiv.org/abs/2402.01942 #qbioGN #mathCO #csDS

Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning https://arxiv.org/abs/2402.02004 #qbioBM

Nature's Brewery to Bedtime: The Role of Hops in GABAA Receptor Modulation and Sleep Promotion https://arxiv.org/abs/2402.02129 #qbioQM

The explanatory power of activity flow models of brain function https://arxiv.org/abs/2402.02191 #qbioNC

Optimize Individualized Energy Delivery for Septic Patients Using Predictive Deep Learning Models: A Real World Study https://arxiv.org/abs/2402.02201 #qbioOT

Cell Painting Gallery: an open resource for image-based profiling https://arxiv.org/abs/2402.02203 #qbioQM