arXiv Quantitative Biology @arxiv_bio@qoto.org

The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis https://arxiv.org/abs/2507.12473 #qbioNC #csLG #csNE

GLOMIA-Pro: A Generalizable Longitudinal Medical Image Analysis Framework for Disease Progression Prediction https://arxiv.org/abs/2507.12500 #qbioQM #eessIV

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks https://arxiv.org/abs/2507.12567 #qbioNC #csNE

Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning https://arxiv.org/abs/2507.12625 #qbioNC #eessSP #csHC

Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural Networks https://arxiv.org/abs/2507.12858 #qbioNC #nlinAO

Detecting the most probable transition phenomenon of a nutrient-phytoplankton-zooplankton system https://arxiv.org/abs/2507.12915 #qbioPE #mathDS

Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19 https://arxiv.org/abs/2507.12966 #qbioPE #csLG

Continued domain-specific pre-training of protein language models for pMHC-I binding prediction https://arxiv.org/abs/2507.13077 #qbioQM

Life Finds A Way: Emergence of Cooperative Structures in Adaptive Threshold Networks https://arxiv.org/abs/2507.13253 #qbioPE #csSI

Assay2Mol: large language model-based drug design using BioAssay context https://arxiv.org/abs/2507.12574 #qbioQM #cs.LG #cs.AI

MiNAA-WebApp: A Web-Based Tool for the Visualization and Analysis of Microbiome Networks https://arxiv.org/abs/2507.08822 #qbioMN

Generation of structure-guided pMHC-I libraries using Diffusion Models https://arxiv.org/abs/2507.08902 #qbioQM #csAI

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model https://arxiv.org/abs/2507.08920 #qbioBM #csAI

CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience https://arxiv.org/abs/2507.09024 #qbioNC #csCV

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research https://arxiv.org/abs/2507.09028 #qbioQM #csAI

A Phase-field Model for Apoptotic Cell Death https://arxiv.org/abs/2507.09038 #qbioCB

Co-evolutionary Balance State of the Autism inter-Brain Network: A Neurofunctional Framework for Biomarker Discovery https://arxiv.org/abs/2507.09045 #physicsbioph #qbioNC

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins https://arxiv.org/abs/2507.09054 #qbioBM #csLG

Advancing Structure Prediction of Biomolecular Interaction via Contact-Guided Sampling with HelixFold-S1 https://arxiv.org/abs/2507.09251 #qbioBM

Degeneracy of Zero-one Reaction Networks https://arxiv.org/abs/2507.09272 #qbioMN #mathDS