arXiv Quantitative Biology @arxiv_bio@qoto.org

When can fitness epistasis be ignored in a polygenic trait at equilibrium? https://arxiv.org/abs/2603.27255 #condmatstatmech #qbioPE

Information in a recurrent Retina-V1 network with realistic noise, feedback and nonlinearities https://arxiv.org/abs/2603.27347 #qbioNC

Grounding Social Perception in Intuitive Physics https://arxiv.org/abs/2603.27410 #qbioNC #csAI #csCV

QHap: Quantum-Inspired Haplotype Phasing https://arxiv.org/abs/2603.25762 #quantph #qbioGN

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment https://arxiv.org/abs/2603.25880 #qbioQM #csAI #csLG

Evaluating Phylogenetic Comparative Methods under Reticulate Evolutionary Scenarios https://arxiv.org/abs/2603.25986 #qbioPE #qbioQM

Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort https://arxiv.org/abs/2603.26007 #qbioNC #csAI #csCV

TurboESM: Ultra-Efficient 3-Bit KV Cache Quantization for Protein Language Models with Orthogonal Rotation and QJL Correction https://arxiv.org/abs/2603.26110 #qbioQM

On the RAID dataset of perceptual responses: analysis and statistical causes https://arxiv.org/abs/2603.26267 #qbioNC

Multi-scale Metabolic Modeling and Simulation https://arxiv.org/abs/2603.26370 #qbioQM #mathDS #mathOC

Identifying Connectivity Distributions from Neural Dynamics Using Flows https://arxiv.org/abs/2603.26506 #qbioNC #csLG

Control of genes by self-organizing multicellular interaction networks https://arxiv.org/abs/2603.26530 #qbioMN

KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening https://arxiv.org/abs/2603.25755 #physics.chem-ph #qbioQM #statML #cs.LG

Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders https://arxiv.org/abs/2603.24603 #qbioNC #csAI

A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data https://arxiv.org/abs/2603.24626 #qbioGN #statML #csLG

Learning relationships in epidemiological data using graph neural networks https://arxiv.org/abs/2603.24745 #qbioQM

Quantifying plasticity: a network-based framework linking structure to dynamical regimes https://arxiv.org/abs/2603.25180 #condmatstatmech #condmatdisnn #physicsbioph #qbioNC #nlinAO

The Self-Replication Phase Diagram: Mapping Where Life Becomes Possible in Cellular Automata Rule Space https://arxiv.org/abs/2603.25239 #qbioPE #csCC

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells https://arxiv.org/abs/2603.25240 #qbioQM

Fast Iteration of Spaced k-mers https://arxiv.org/abs/2603.25417 #qbioGN #csDS