Coarse-graining and criticality in the human connectome. (arXiv:2310.00139v1 [q-bio.NC]) http://arxiv.org/abs/2310.00139
ADMET property prediction through combinations of molecular fingerprints. (arXiv:2310.00174v1 [q-bio.BM]) http://arxiv.org/abs/2310.00174
CARLA: Adjusted common average referencing for cortico-cortical evoked potential data. (arXiv:2310.00185v1 [q-bio.QM]) http://arxiv.org/abs/2310.00185
Is controlling a brain-computer interface just a matter of presence of mind? The limits of cognitive-motor dissociation. (arXiv:2310.00266v1 [q-bio.NC]) http://arxiv.org/abs/2310.00266
Automation and miniaturization of Golden Gate DNA assembly reactions using acoustic dispensers. (arXiv:2310.00325v1 [q-bio.QM]) http://arxiv.org/abs/2310.00325
Asymptotic analysis of conversion-limited phase separation. (arXiv:2310.00408v1 [cond-mat.soft]) http://arxiv.org/abs/2310.00408
PharmacoNet: Accelerating Structure-based Virtual Screening by Pharmacophore Modeling. (arXiv:2310.00681v1 [q-bio.BM]) http://arxiv.org/abs/2310.00681
Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches. (arXiv:2309.16684v1 [q-bio.BM]) http://arxiv.org/abs/2309.16684
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. (arXiv:2309.16685v1 [q-bio.BM]) http://arxiv.org/abs/2309.16685
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. (arXiv:2309.16687v1 [cs.NE]) http://arxiv.org/abs/2309.16687
Extension of Transformational Machine Learning: Classification Problems. (arXiv:2309.16693v1 [q-bio.BM]) http://arxiv.org/abs/2309.16693
Memories in the Making: Predicting Video Memorability with Encoding Phase EEG. (arXiv:2309.16704v1 [q-bio.NC]) http://arxiv.org/abs/2309.16704
Shallow learning enables real-time inference of molecular composition changes from broadband-near-infrared spectroscopy of brain tissue. (arXiv:2309.16735v1 [physics.bio-ph]) http://arxiv.org/abs/2309.16735
Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis. (arXiv:2309.16736v1 [cs.LG]) http://arxiv.org/abs/2309.16736
Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients. (arXiv:2309.16742v1 [cs.LG]) http://arxiv.org/abs/2309.16742
Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms. (arXiv:2309.16744v1 [cs.LG]) http://arxiv.org/abs/2309.16744
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. (arXiv:2309.16746v1 [cs.LG]) http://arxiv.org/abs/2309.16746
Human Behavior Plasticity Measured in Speech Epochs: A Proof-Of-Concept Study. (arXiv:2309.15862v1 [q-bio.OT]) http://arxiv.org/abs/2309.15862
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning. (arXiv:2309.15867v1 [cs.LG]) http://arxiv.org/abs/2309.15867
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice. (arXiv:2309.15888v1 [q-bio.QM]) http://arxiv.org/abs/2309.15888
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