Research Object Crate for Jupyter Notebook AutoEncoders for MD Analysis tutorial

Original URL: https://workflowhub.eu/workflows/2143/ro_crate?version=1

# AutoEncoders for Anomaly Detection tutorial using BioExcel Building Blocks (biobb) This tutorial involves the use of a **multilayer AutoEncoder (AE)** for **feature extraction** and **pattern recognition** by analyzing **Molecular Dynamic Simulations**, step by step, using the **BioExcel Building Blocks library (biobb)**. *** ## Copyright & Licensing This software has been developed in the [MMB group](http://mmb.irbbarcelona.org) at the [BSC](http://www.bsc.es/) & [IRB](https://www.irbbarcelona.org/) for the [European BioExcel](http://bioexcel.eu/), funded by the European Commission (EU Horizon Europe [101093290](https://cordis.europa.eu/project/id/101093290), EU H2020 [823830](http://cordis.europa.eu/projects/823830), EU H2020 [675728](http://cordis.europa.eu/projects/675728)). * (c) 2015-2026 [Barcelona Supercomputing Center](https://www.bsc.es/) * (c) 2015-2026 [Institute for Research in Biomedicine](https://www.irbbarcelona.org/) Licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0), see the file LICENSE for details. ![](https://bioexcel.eu/wp-content/uploads/2019/04/Bioexcell_logo_1080px_transp.png "Bioexcel")

Author
Genís Bayarri, Adam Hospital
License
Apache-2.0

Contents

Main Workflow: Jupyter Notebook AutoEncoders for MD Analysis tutorial
Size: 2325961 bytes