arXiv Quantitative Biology @arxiv_bio@qoto.org

Segmentation algorithms and modeling of recurrent bursting events in neuronal and glial time series https://arxiv.org/abs/2411.00545 #condmatdisnn #qbioNC #qbioQM

Simplifying and Characterizing DAGs and Phylogenetic Networks via Least Common Ancestor Constraints https://arxiv.org/abs/2411.00708 #qbioPE #mathCO #csDM

Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep https://arxiv.org/abs/2411.00731 #qbioQM #eessSP #csHC

Moral Agency in Silico: Exploring Free Will in Large Language Models https://arxiv.org/abs/2410.23310 #qbioNC #csAI

Choice confidence bridges credit assignment to levels of decision hierarchy https://arxiv.org/abs/2410.23313 #qbioNC

Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps https://arxiv.org/abs/2410.23321 #qbioQM #csLG

MassSpecGym: A benchmark for the discovery and identification of molecules https://arxiv.org/abs/2410.23326 #qbioQM #csLG

Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models https://arxiv.org/abs/2410.23327 #qbioQM #csCV #csLG

Genetic studies through the lens of gene networks https://arxiv.org/abs/2410.23425 #qbioMN

Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease https://arxiv.org/abs/2410.23429 #qbioNC

Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning https://arxiv.org/abs/2410.23433 #qbioGN #csLG

Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review https://arxiv.org/abs/2410.23445 #qbioNC

Spatio-temporal activity patterns induced by triadic interactions in an in silico neural medium https://arxiv.org/abs/2410.23476 #condmatdisnn #qbioNC

MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language https://arxiv.org/abs/2410.22367 #qbioQM #csAI #csLG

Discovering Multi-omic Biomarkers for Prostate Cancer Severity Using Machine Learning https://arxiv.org/abs/2410.22387 #qbioQM

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation https://arxiv.org/abs/2410.22388 #qbioQM #csLG

Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2 https://arxiv.org/abs/2410.22452 #qbioGN #csLG

Single cells can resolve graded stimuli https://arxiv.org/abs/2410.22571 #physicsbioph #qbioCB

Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study https://arxiv.org/abs/2410.22768 #qbioNC

Improving the mean-field approximation in continuous models of population dynamics with nonlocal dispersal: applications to vegetation pattern formation https://arxiv.org/abs/2410.23125 #qbioPE #nlinAO #nlinPS