arXiv Quantitative Biology @arxiv_bio@qoto.org

DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction https://arxiv.org/abs/2406.07770 #qbioQM #cs.LG #cs.AI

Incremental Learning and Self-Attention Mechanisms Improve Neural System Identification https://arxiv.org/abs/2406.07843 #qbioNC #cs.CV

The Price of Cognition and Replicator Equations in Parallel Neural Networks https://arxiv.org/abs/2406.06726 #qbioNC #mathDS #mathOC

The Imaging Database for Epilepsy And Surgery (IDEAS) https://arxiv.org/abs/2406.06731 #qbioNC

Classical Myelo-Proliferative Neoplasms emergence and development based on real life incidence and mathematical modeling https://arxiv.org/abs/2406.06765 #qbioPE #statAP

Overcoming Limitations in Artificial Intelligence-based Prostate Cancer Detection through Better Datasets and a Bayesian Approach to Aggregate Panel Predictions https://arxiv.org/abs/2406.06801 #qbioTO

Experimental Measurement of Assembly Indices are Required to Determine The Threshold for Life https://arxiv.org/abs/2406.06826 #qbioOT

Bifurcations and multistability in empirical mutualistic networks https://arxiv.org/abs/2406.06897 #qbioPE #mathDS

Data mining method of single-cell omics data to evaluate a pure tissue environmental effect on gene expression level https://arxiv.org/abs/2406.06969 #qbioGN #csDM

pVACview: an interactive visualization tool for efficient neoantigen prioritization and selection https://arxiv.org/abs/2406.06985 #qbioGN

Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors https://arxiv.org/abs/2406.07148 #condmatdisnn #qbioNC

Are Protein Language Models Compute Optimal? https://arxiv.org/abs/2406.07249 #qbioBM #csAI

Research on Tumors Segmentation based on Image Enhancement Method https://arxiv.org/abs/2406.05170 #qbioOT #eessIV #csCV

Tree balance in phylogenetic models https://arxiv.org/abs/2406.05185 #qbioPE #statAP

Processing, evaluating and understanding FMRI data with afni_proc.py https://arxiv.org/abs/2406.05248 #qbioNC

Advances in Machine Learning, Statistical Methods, and AI for Single-Cell RNA Annotation Using Raw Count Matrices in scRNA-seq Data https://arxiv.org/abs/2406.05258 #qbioOT #statOT

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training https://arxiv.org/abs/2406.05347 #qbioBM #csAI #csLG

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding https://arxiv.org/abs/2406.05540 #qbioQM #csAI #csCL #csLG

Smiles2Dock: an open large-scale multi-task dataset for ML-based molecular docking https://arxiv.org/abs/2406.05738 #qbioBM #statAP #statCO #csLG

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization https://arxiv.org/abs/2406.05797 #qbioBM #csAI #csCE #csCL #csLG