mixOmics
| Omics Data Integration Project
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Welcome
Install
Updates
We are moving …. to bioC!
A quick video introduction for mixOmics, vote for us!
6.2.0, 2 postdoc positions and workshops
Update 6.1.3 on CRAN, postdoc position, manuscript and upcoming workshops
Patch 6.1.1
Version 6.1.0 and latest publications
Patch 6.0.1
Version 6.0.0
Workshops
[open] Self-paced online course Feb 24 – April 11, 2025
[closed] Self-paced online course Oct 21 – Dec 6 2024
Self-paced online course Feb 19 – April 5 2024
[open] Self-paced online course May 22 – July 7 2023
[closed] 13-14 March 2023, Brisbane, Aus
Self-paced online course Oct 31st – Nov 27 2022
[Closed] Self paced online course Oct 11 – Nov 7 2021
[closed] Online workshop (on-demand)
[cancelled] 26-29 Oct 2021, Palmerston North, NZ (beginner)
Workshops for 2019 – 2020
12-13 March 2020, Advanced workshop, L’Oréal headquarters
Feb 3-5 2020, Perth, AUS (beginner, omics and microbiome)
Software requirements for 2020 mixOmics workshops
June 4-6 2019, Toulouse, FR (beginner, 3 days)
April 15 – 17 2019, Melbourne AUS (beginner, microbiome)
Nov 6 2018, Vancouver (microbiome)
Beginner workshop 23-25 July 2018, Melbourne
July 8 2018, Barcelona, SP (Introductory)
June 7-8 June 2018, Saclay, FR (advanced)
April 12-13 2018, Sydney, AUS
Software requirements for mixOmics workshops
Nov 22-24 2017, Toulouse, FR
Nov 9-10 2017, Toulouse, FR
Oct 23-24 2017, Toulouse, FR, Advanced Workshop
Nov 4 2016, Brisbane, AUS
Sept 12-14 Sept 2016, Toulouse, FR
22 July 2016, Saclay, FR Summer School Saclay Plant Sciences
July 11-13 2016, Clermont-Ferrand, FR
March 24-25 2016, Nantes, FR
Sept 24-25 2015, Jouy-en-Josas, FR
Sept 14-15 2015, Toulouse, FR
Sept 10-11 2015, Montpellier, FR
Aug 13-14 2015, Brisbane, AUS
April 9-10 2015, Auckland, NZ
October 6-7 2014, Toulouse, FR
Sept 7, 2014, Strasbourg, FR
Book
Webinars
mixOmics overview in 50 minutes
PCA and PLS-DA
PLS methods
Time-course multi-omics integration
Microbial network inference for longitudinal microbiome studies with LUPINE
Φ-Space: Continuous phenotyping of single-cell multi-omics data
Methods
Key Concepts
Selecting your Method
Distance Metrics
Multilevel
Missing Values
Single Omics
(s)PCA
(s)IPCA
(s)PLS-DA
N-Integration
Two-Omics
(s)PLS
(r)CCA
Multi-Omics
Multi-Omics N-Integration Methods
DIABLO
Multiblock (s)PLS
P-integration
MINT
mixMC
mixMC Preprocessing
mixMC Methodology
Graphics
Sample Plots
plotIndiv()
plotArrow()
Variable Plots
plotVar()
biplot()
plotLoadings()
network()
cim()
circos()
Case Studies
Single Omics
sPCA Multidrug Case Study
sPLSDA SRBCT Case Study
sIPCA Liver Toxicity Case Study
N-Integration
Two-Omics
sPLS Liver Toxicity Case Study
rCCA Nutrimouse Case Study
Multi-Omics
DIABLO TCGA Case Study
Multiblock sPLS Gastrulation (Single Cell) Case Study
More DIABLO Examples
P-integration
MINT Stem Cells Case Study
MINT Microbial Case Study
mixMC
Koren Bodysites Case Study
HMP Bodysites Case Study
mixMC/mixKernel Tara Ocean Case Study
Multilevel
Multilevel Vac18 Case Study
Multilevel Liver Toxicity Case Study
Cases where the methods fail
Gastrulation Multiblock sPLS Case Study (Inappropriate data)
SRBCT sPLS-DA Case Study (Permuted Labels)
FAQ
Glossary
Common Issues and Errors
About
Contact us
History
Related Packages
Citing mixOmics
The Team
Publications
Acknowledgements
←
MINT
MINT Stem cells Case Study
By
Max Bladen
|
Published
January 9, 2022
mint-stem-cells-case-study
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