All Categories (61-80 of 181)

1. Hands-on Supervised Learning: Part 1 - Linear Regression and Neural Networks

   Online Presentations | 22 Apr 2020 | Contributor(s):: Saaketh Desai

   This tutorial introduces supervised learning via Jupyter notebooks on nanoHUB.org. You will learn how to setup a basic linear regression in a Jupyter notebook and then create and train a neural network. The tool used in this demonstration is Machine Learning for Materials Science:...

2. Repositories and Data Management (2nd offering)

   Online Presentations | 22 Apr 2020 | Contributor(s):: Zachary D McClure, Alejandro Strachan

   This tutorial introduces database infrastructure and APIs for performing different scales of querying. You will learn how to access different suites of information from three prominent databases, and some advanced examples of data visualization and processing will be discussed. The Querying...

3. Repositories and Data Management (1st offering)

   Online Presentations | 21 Apr 2020 | Contributor(s):: Zachary D McClure, Alejandro Strachan

   This tutorial introduces database infrastructure and APIs for performing different scales of querying. You will learn how to access different suites of information from three prominent databases, and some advanced examples of data visualization and processing will be discussed. The Querying...

4. Introduction to Jupyter Notebooks, Data Organization and Plotting (1st offering)

   Online Presentations | 21 Apr 2020 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

   This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...

5. Introduction to Jupyter Notebooks, Data Organization and Plotting (2nd offering)

   Online Presentations | 21 Apr 2020 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

   This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...

6. PhysiBoSSa Simulation with ECM

   Tools | 20 Apr 2020 | Contributor(s):: Marco Ruscone, Vincent Noel, Laurence Calzone, Gaelle Letort, Arnau Montagud

   Agent based multicellular simulation with extracellular matrix interaction

7. Setting up Your nanoHUB File Structure in Jupyter Notebooks

   Online Presentations | 17 Apr 2020 | Contributor(s):: Tanya Faltens

   This tutorial takes you through the steps to set up your nanoHUB file structure in Jupyter Notebooks.Be sure to get a copy of the pdf that accompanies the video instructions by clicking on the Supporting Docs tab for this resource.

8. Unsupervised learning using dimensionality reduction via matrix decomposition

   Tools | 14 Apr 2020 | Contributor(s):: Michael N Sakano, Alejandro Strachan

   Learn PCA and NMF via chemistry example

9. A virion infected-cell response tissue simulator

   Tools | 13 Apr 2020 | Contributor(s):: Yafei Wang, Randy Heiland, Paul Macklin

   Simulate infected cell response to virus with PhysiCell

10. A virion replication tissue simulator

    Tools | 13 Apr 2020 | Contributor(s):: Yafei Wang, Randy Heiland, Paul Macklin

    Simulate virus replication dynamics with PhysiCell

11. A virion endocytosis tissue simulator

    Tools | 13 Apr 2020 | Contributor(s):: Yafei Wang, Randy Heiland, Paul Macklin

    Simulate virus endocytosis (internalization), ACE2 receptor dynamics with PhysiCell

12. Apr 09 2020

    Intro to Jupyter in nanoHUB, Pandas for data organization and plotting

    Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...

    https://nanohub.org/events/details/1847

13. Apr 08 2020

    Intro to Jupyter in nanoHUB, Pandas for data organization and plotting

    Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...

    https://nanohub.org/events/details/1840

14. Querying Data Repositories

    Tools | 03 Apr 2020 | Contributor(s):: Zachary D McClure, Alejandro Strachan

    Query database repositories using Python based APIs and tips for managing data

15. Souffle: Virus Capsid Assembly Lab

    Tools | 01 Apr 2020 | Contributor(s):: Nilsson, Lauren, JCS Kadupitiya, Vikram Jadhao

    Simulate assembly of flexible capsomeres into virus capsids and oligomers

16. PhysiCell model for COVID19

    Tools | 26 Mar 2020 | Contributor(s):: Randy Heiland, Yafei Wang, Paul Macklin

    Prototype 2-D multicellular simulation of COVID19.

17. High Entropy Alloy Melting Point Calculation

    Tools | 05 Mar 2020 | Contributor(s):: Zachary D McClure, Saaketh Desai, Alejandro Strachan

    Calculate melting point of high entropy alloys through phase coexistence method

18. FIFA 2010 visualization

    Tools | 04 Mar 2020 | Contributor(s):: Rei Sanchez-Arias

    Data visualization of players that participated in the FIFA 2010 tournament

19. Mechanics Training App for PhysiCell

    Tools | 14 Feb 2020 | Contributor(s):: Furkan Kurtoglu, Aneequa Sundus, Mishler, Daniel S, Randy Heiland, Paul Macklin

    Training application for "Mechanics" concept in PhysiCell.

20. PhysiCell model with SBML intracellular model

    Tools | 10 Feb 2020 | Contributor(s):: Randy Heiland

    Each cell will have its own intracellular (metabolic) model that will affect the microenvironment.