Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023. Files contain the datasets employed for model training and computational screening, as well as a jupyter notebook with code for model training, feature selection and screening
Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Re...
This repository contains the dataset of the manuscript: "An Empirical Study on the Usage and Availa...
The manuscript, supporting data and codes for the manuscript: "Machine learning analysis of tauRAMD...
Cellular senescence is a stress response characterised by a permanent cell cycle arrest and a proinf...
The Jupyter Notebooks in this release contain all the code used for both machine learning and data a...
Raw datasets and media accompanying the manuscript: Machine Learning-Assisted Sampling of SERS Subst...
This dataset contains data from Paperswithcode.com obtained on January of 2022. The first file, 'Pap...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
Data and code for the paper "A critical examination of robustness and generalizability of machine le...
Supporting data and code for the manuscript: "Machine learning analysis of tauRAMD trajectories to ...
# Data and Scripts for "Machine learning the electronic structure of matter across temperatures" Th...
Supplementary Information for "Autonomous data extraction from peer reviewed literature for training...
This repository contains supporting data and code for the paper titled "Data-driven discovery of car...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
Data and code for "Exploring Deep Learning for Metalloporphyrins: Databases, Molecular Representatio...
Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Re...
This repository contains the dataset of the manuscript: "An Empirical Study on the Usage and Availa...
The manuscript, supporting data and codes for the manuscript: "Machine learning analysis of tauRAMD...
Cellular senescence is a stress response characterised by a permanent cell cycle arrest and a proinf...
The Jupyter Notebooks in this release contain all the code used for both machine learning and data a...
Raw datasets and media accompanying the manuscript: Machine Learning-Assisted Sampling of SERS Subst...
This dataset contains data from Paperswithcode.com obtained on January of 2022. The first file, 'Pap...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
Data and code for the paper "A critical examination of robustness and generalizability of machine le...
Supporting data and code for the manuscript: "Machine learning analysis of tauRAMD trajectories to ...
# Data and Scripts for "Machine learning the electronic structure of matter across temperatures" Th...
Supplementary Information for "Autonomous data extraction from peer reviewed literature for training...
This repository contains supporting data and code for the paper titled "Data-driven discovery of car...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
Data and code for "Exploring Deep Learning for Metalloporphyrins: Databases, Molecular Representatio...
Dataset and codes for the paper "A Statistical Perspective for Predicting the Strength of Metals: Re...
This repository contains the dataset of the manuscript: "An Empirical Study on the Usage and Availa...
The manuscript, supporting data and codes for the manuscript: "Machine learning analysis of tauRAMD...