arXiv Quantitative Biology @arxiv_bio@qoto.org

CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods. (arXiv:2310.06881v1 [q-bio.QM]) http://arxiv.org/abs/2310.06881

Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning. (arXiv:2310.07029v1 [q-bio.NC]) http://arxiv.org/abs/2310.07029

Quantum Memory of Musical Compositions. (arXiv:2310.07030v1 [q-bio.NC]) http://arxiv.org/abs/2310.07030

Score-Based Generative Models for Designing Binding Peptide Backbones. (arXiv:2310.07051v1 [q-bio.BM]) http://arxiv.org/abs/2310.07051

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. (arXiv:2310.07106v1 [cs.CL]) http://arxiv.org/abs/2310.07106

The Ubiquity of Diffusiophoresis: Exploring Human Population Dynamics While Including Concentration Gradient-Driven Advection. (arXiv:2310.07185v1 [q-bio.PE]) http://arxiv.org/abs/2310.07185

Dynamic trait distribution as a source for shifts in interaction strength and population density. (arXiv:2310.07249v1 [q-bio.PE]) http://arxiv.org/abs/2310.07249

Synthesizing Missing MRI Sequences from Available Modalities using Generative Adversarial Networks in BraTS Dataset. (arXiv:2310.07250v1 [q-bio.QM]) http://arxiv.org/abs/2310.07250

ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction. (arXiv:2310.07253v1 [cs.LG]) http://arxiv.org/abs/2310.07253

Dynamic Brain Networks with Prescribed Functional Connectivity. (arXiv:2310.07262v1 [eess.SY]) http://arxiv.org/abs/2310.07262

A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares. (arXiv:2310.03751v1 [eess.SP]) http://arxiv.org/abs/2310.03751

Contrast detection is enhanced by deterministic, high-frequency transcranial alternating current stimulation with triangle and sine waveform. (arXiv:2310.03763v1 [eess.SP]) http://arxiv.org/abs/2310.03763

PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling. (arXiv:2310.03842v1 [q-bio.BM]) http://arxiv.org/abs/2310.03842

Improved prediction of ligand-protein binding affinities by meta-modeling. (arXiv:2310.03946v1 [cs.LG]) http://arxiv.org/abs/2310.03946

A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis. (arXiv:2310.03964v1 [cs.LG]) http://arxiv.org/abs/2310.03964

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps. (arXiv:2310.04017v1 [cs.LG]) http://arxiv.org/abs/2310.04017

Genetic prediction of quantitative traits: a machine learner's guide focused on height. (arXiv:2310.04028v1 [cs.LG]) http://arxiv.org/abs/2310.04028

From task structures to world models: What do LLMs know?. (arXiv:2310.04276v1 [cs.AI]) http://arxiv.org/abs/2310.04276

A perspective on neuroscience data standardization with Neurodata Without Borders. (arXiv:2310.04317v1 [q-bio.NC]) http://arxiv.org/abs/2310.04317

Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. (arXiv:2310.04366v1 [cs.AR]) http://arxiv.org/abs/2310.04366