Making sense of your gene expression data with Cytoscape

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[img]https://i.imgur.com/Sl9mnIG.jpg[/img]
[b]Making sense of your gene expression data with Cytoscape[/b]
Instructors: Melinda Barkhuizen, PhD, PMP6 sections 13 lectures 40m total lengthVideo: MP4 1280x720 44 KHz | English + SubUpdated 12/2021 | Size: 282 MB

A crash course in biomedical data visualization
What you'll learn
What Cytoscape is
How to use Cytoscape to visualize networks
How to make beautiful network models
Visualizing your own data
Make a video of your network with CyAnimator
Requirements
Basic understanding of biology and gene expression data.
No programming experience needed. You will learn anything you need to know.
Description
Have you ever gotten a large list of genes and wondered how to make sense of it If so, you are not alone, and this course is for you. Big (OMICs) data is increasingly being used to drive biomedical science, but representing your data in a visual and easy to understand way is an art. In this course, you will learn how to use Cytoscape to make graphical representations of biological data.
Cytoscape is a free, open-source network visualization tool. In this course, I share tips and techniques I have spent years learning to take you from a Cytoscape Zero to a Cytoscape Hero in under 45 minutes. We cover everything from installing Cytoscape, to using Cytoscape to make sense of big gene lists, adjusting your network styles and layouts to make meaningful network models that capture gene interactions and mapping your own data onto these networks for next level data visualization.
This course is aimed at biomedical researchers that need to analyse gene/ protein expression data or anyone that would like to learn how to use Cytoscape. This course requires a basic understanding of biology and biological pathways, but no prior programming knowledge is necessary to follow this course.
Who this course is for
Biomedical scientists that want to make sense of gene expression data
Scientist that need to generate beautiful pictures for presentations

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