Learn how to analyse flow & mass cytometry data in R with us!
Unsupervised clustering, immunological patterns, visualisation tool: everything to analyse your cytometry data.
Updated the 17th of June 2021
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This is Thierry.
He had some troubles with analysing flow and mass cytometry data on his own in a simple but customisable way. But he finally made it and decided to share it with others. So it is easier for them to get their data analysed.
Thierry is here to teach you the basic of flow and mass cytometry analysis by only using R. Give him one hour of your time and you won't be afraid from R anymore. The good news is: you don't need to pay anything else. Only one time to get full access to everything you need. It will save you time and energy to improve this valuable skills of mastering R in cytometry analysis.
❓Why should you follow this course?
An R course focused on cytometric analysis to avoid manual gating strategy and rapidly find immunological patterns in your data. You will be able to analyse your data by clicking on one button! A high valuable skills in immunology.
💰What will be the benefits for you?
You will save time, going straight to what you need, avoiding learning all the facets of R you will never use.
▶️ See our introduction of this course.
You liked it? You can then choose the plan which is the best for you.
You will receive an invoice from us by email, that you might be able to use to get a refund from your institution for training and development purpose. If you need another specific invoice, please contact us.
☝🏽 You will not receive any spams or ad from us. Sometimes, we might check on your progress.
This course is different from what is taught at other places. This course is specialised in R and in immunology. We combined both fields and combine it in an efficient course you can follow at your own pace.
Here you will be taught our favorite parts of R in immunology. You will learn the following techniques:
Pre-processing flow and mass cytometry files in R
Clustering analysis: PhenoGraph, FlowSOM, DensVM
Dimensionality reduction: tSNE, PCA, UMAP, Diffusion Map
Visualisation tools: how to quickly identify immunological patterns in your flow or mass cytometry data
Our favorite tricks and further analysis like ClusterX, ImmunoClust and a method to be able to customise your own analysis pipeline. Analyse your CyTOF data yourself in an easy and efficient way!
Regular updates: how to merge samples together in R, how to compare efficiently clustering methods in one go, what are the newest techniques available explained for beginners. You don't need to be afraid of R anymore!
At the end of this course, you will be able to analyse your data in one simple click.
We have two different plans for you. If you are sure you won't need any assistance, if you are not interested in live courses and if you don't need the course for more than 2 months, then the Basics plan is made for you. Otherwise, a better supportive plan is available.
You will be able to draw such figures by following this 1-hour-course and customise it by learning how to code in R in immunology.
🔊 Our primary objective is that you enjoy this course. We are here to help you and guide you through the entire course. We always provide assistance and by subscribing to this course, you ensure yourself you will meet the main aim of this website: learn mass and flow data analysis. Universities and well-known companies already trust us. We are very thankful to them 🙏🏽.
This course has been checked by several reviewers and already tested on several machines. You can use a Mac or a Windows system, both are supported during the videos.
We keep an eye on what's new and available. We are including new chapters (VIP plan only) regularly to ensure you the most profitable learning experience. We are listening to every user comment and feedback we receive and give an answer within 24-48 hours. By choosing our VIP plan, we are ensuring yourself the best assistance in R.
This is just one example among others showing what you will be able to draw after completing the course with us. Don't miss out the opportunity to learn unsupervised analysis of your cytometry data.
Convince your audience with a state-of-the-art analysis and start our VIP plan now.
Joe, MD Anderson Center, Post-Doc
I wanted to learn how to analyse my flow cytometry data in an unsupervised way and by following this course it is really easy to learn R. Besides, I could be help all along the way.
Ellen, University of Sydney, PhD candidate
I can customise my own pipeline for my CyTOF analysis now that I followed this training. The videos are clear, concise and furnished with supportive documents. I am sure other people might be interested as well in such a training.
Nancy, PhD candidate
I was looking for a mass and flow cytometry course specifically focused in R for a long time and I am happy I found VisuaLyte