arXiv Quantitative Biology @arxiv_bio@qoto.org

Preference optimization of protein language models as a multi-objective binder design paradigm https://arxiv.org/abs/2403.04187 #physicsbioph #qbioBM #csAI #csCE

The importance of the incubation time distribution in compartmental epidemiological models https://arxiv.org/abs/2403.04505 #nlin.AO #qbioPE

Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume https://arxiv.org/abs/2403.03229 #qbioTO #eessIV #mathAP #csLG

Large language models surpass human experts in predicting neuroscience results https://arxiv.org/abs/2403.03230 #qbioNC #csAI

Machine and deep learning methods for predicting 3D genome organization https://arxiv.org/abs/2403.03231 #qbioGN #csLG

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling https://arxiv.org/abs/2403.03234 #qbioGN #csLG

From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE https://arxiv.org/abs/2403.03274 #qbioQM #mathDS #csAI #csLG

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models https://arxiv.org/abs/2403.03313 #qbioPE

A Novel Method for Clustering Cellular Data to Improve Classification https://arxiv.org/abs/2403.03318 #qbioQM

From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling https://arxiv.org/abs/2403.03335 #qbioOT

The use of next-generation sequencing in personalized medicine https://arxiv.org/abs/2403.03688 #qbioGN

CIBRA identifies genomic alterations with a system-wide impact on tumor biology https://arxiv.org/abs/2403.03829 #qbioGN #qbioQM

Fluid ejections in nature https://arxiv.org/abs/2403.02359 #physicsbioph #qbioQM

Renal function changes in chronic hepatitis B patients https://arxiv.org/abs/2403.02361 #qbioQM

Drug resistance revealed by in silico deep mutational scanning and mutation tracker https://arxiv.org/abs/2403.02603 #qbioQM

DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties https://arxiv.org/abs/2403.02706 #qbioBM

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks https://arxiv.org/abs/2403.02724 #qbioGN

Early quantum computing applications on the path towards precision medicine https://arxiv.org/abs/2403.02733 #quantph #qbioQM

Assessing the distribution of cancer stem cells in tumorspheres https://arxiv.org/abs/2403.02984 #qbioQM

Possible and Impossible Inferences From Reconstructed Evolutionary Processes using Phylogenies as an Example https://arxiv.org/abs/2403.03000 #qbioQM #qbioPE