GitHub

c-lasso: a Python package for constrained sparse regression and classification

c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...
BMJ

Time trends in newly recorded diagnoses of 19 long term conditions before, during, and after the covid-19 pandemic: population based cohort study in England using OpenSAFELY

3 King’s College Hospital NHS Foundation Trust, London, UK 4 Great Western Hospital NHS Foundation Trust, Swindon, UK 5 Department of Inflammation Biology, King’s College London, London, UK 6 Centre ...
ascopubs.org

Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort Current precision medicine (CPM) matches patients to ...
eLife

MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...
Frontiers

Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware

Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the information processing of the nervous system. However, ionic-conductance models, which can faithfully ...
C&EN

Molecular Simulations of Thermomechanical Properties of Epoxy-Amine Resins

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Epoxies are some of the most prominent thermosetting polymers ...