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April 15th, 2015
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Toulouse tutorial 6-7 Oct 2014 – Registration
September 17th, 2014
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Training fees
For INRA staff: this training session is not supported by INRA professional training, therefore, you do not have to provide an individual request training. An attendance certificate will be delivered at the end of the training session. For non-INRA staff: INRA has no training agreement. Fees for the 2-day tutorial:
- for INRA staff: 150€ (no taxes)
- for academic staff but non-INRA: 150€ + 20% taxes (TVA)
- for non-academic: 500€ + 20% taxes (TVA)
Registration includes:
- access to our facilities and to a workstation if requested (we encourage the participants to bring their own laptops to perform their analyses),
- online course material that will be available on this website,
- hard copy of the course material and answers to exercises/ case studies will provided during the training session.
- morning and afternoon coffee breaks and lunch.
All registration has to be confirmed upon receipt of a purchase order addressed to: INRA-MIAT-PF BIOINFORMATIQUE Chemin de Borde Rouge CS 52627 – Auzeville 31326 Castanet Tolosan France
or secretariat-miat(at)toulouse.inra.fr
Payment
By cheque: with a copy of your registration confirmation with the training session name. The cheque should be written to ACS INRA and adressed to: INRA-BIA – chemin de borde rouge – Auzeville – CS 52627 – 31326 Castanet Tolosan cedex – France By purchase order:
- domiciliation: TP Toulouse
- bank code: 10071
- counter code: 31000
- bank account number: 00001002650 – key : 96
- bank postal address: INRA TOULOUSE AC SECONDAIRE – Chemin de BORDE ROUGE – CS 52627 – 31326 CASTANET TOLOSAN CEDEX
- IBAN: FR76 1007 1310 0000 0010 0265 096
- BIC: TRPUFRP1
Registration cancellation policy: If your circumstances change and you are unable to attend the training session, you must contact secretariat-miat(at)toulouse.inra.fr by no later than 8 days prior to the commencement of the training session. Should you cancel less than 8 days prior to the commencement of the trianing session, no refund will be payable.
Other information
N° SIRET INRA Toulouse: 18007003901134 APE code: 731 Z
Toulouse tutorial 6-7 Oct 2014: Details
September 17th, 2014
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Training aims
The objective of this tutorial is to introduce the fundamental concepts behind projection-based approaches and illustrate their application on some exemplar studies using the R package mixOmics. In this tutorial, we will focus on the application of these approaches to medium and high throughput biological data (transcriptomics, metabolomics, proteomics data) using PCA, CCA, PLS, PLS-DA and the variants that the mixOmics team and collaborators have developed.
Training program*
- Key methodologies in mixOmics and their variants
- Principal Component Analysis: PCA, sparse PCA, NIPALS
- Canonical Correlation Analysis: CCA, regularized CCA
- Partial Least Squares regression: PLS, sparse PLS
- Partial Least Squares Discriminant Analysis: PLS-DA, sparse PLS-DA
- Recent developments in mixOmics, including multilevel PLS for repeated measurements and introduction to the integration of multiple data sets
- Review on the graphical outputs implemented in mixOmics
- Sample plots
- Correlation circles
- Integrating two data sets: relevance networks and clustered image map
- Case studies and applications
- Example with PCA: Nutrimouse
- Example with CCA: Multidrug
- Example with PLS: Liver toxicity
- Example with PLS-DA: SRBCT study
* The methodologies will be presented throughout the two days training session. Each methodology will be illustrated on a case study (we will alternate theory and application).
Course material will be available in a hard printed copy and online.
Other information
Details for registration are provided here.
The session will take place in the formation room of the INRA center of Toulouse-Auzeville.
Presentation about new developments in mixOmics
October 1st, 2013
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Another presentation of mixOmics dating Sept 2013, which presents the latest developments including time course data, multi-group and multi-block analysis.
Go here.
Categories: Graphics