arXiv Quantitative Biology @arxiv_bio@qoto.org

When Life Gives You Lemons, Squeeze Your Way Through: Understanding Citrus Avoidance Behaviour by Free-Ranging Dogs in India https://arxiv.org/abs/2407.17601 #qbioOT

Use-dependent Biases as Optimal Action under Information Bottleneck https://arxiv.org/abs/2407.17793 #qbioNC #mathIT #csIT

Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology https://arxiv.org/abs/2407.17938 #qbioNC #mathAT #csCV

Heterogeneous model for superdiffusive movement of dense-core vesicles in C. elegans https://arxiv.org/abs/2407.18237 #qbioSC

A minimal model for multigroup adaptive SIS epidemics https://arxiv.org/abs/2407.17639 #math.DS #qbioPE

Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks https://arxiv.org/abs/2407.17674 #qbioBM #cs.LG

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation https://arxiv.org/abs/2407.17756 #qbioNC #cs.NE

Experimental Data Confirm Carrier-Cascade Model for Solid-State Conductance across Proteins https://arxiv.org/abs/2407.17982 #cond-mat.mes-hall #cond-mat.dis-nn #cond-mat.soft #quantph #qbioBM

HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video data https://arxiv.org/abs/2407.18067 #qbioNC #cs.CV #cs.LG #cs.NE

LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction https://arxiv.org/abs/2407.16709 #qbioGN #csLG

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning https://arxiv.org/abs/2407.16715 #qbioQM #csAI #csLG

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data https://arxiv.org/abs/2407.16721 #qbioQM #csLG

Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions https://arxiv.org/abs/2407.17017 #qbioQM

Optimization of breeding program design through stochastic simulation with evolutionary algorithms https://arxiv.org/abs/2407.17286 #qbioQM #csNE

Neural field equations with time-periodic external inputs and some applications to visual processing https://arxiv.org/abs/2407.17294 #qbioNC #mathAP #mathDS #mathOC

Physical limits on galvanotaxis depends on cell morphology and orientation https://arxiv.org/abs/2407.17420 #physicsbioph #condmatsoft #qbioCB

q-deformed evolutionary dynamics in simple matrix games https://arxiv.org/abs/2407.16380 #cond-mat.stat-mech #physics.soc-ph #qbioPE

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms https://arxiv.org/abs/2407.16727 #qbioQM #cs.CV

GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning https://arxiv.org/abs/2407.16940 #qbioGN #cs.LG

A Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language https://arxiv.org/abs/2407.15888 #qbioGN #csLG