{"id":22956,"date":"2014-09-17T06:55:50","date_gmt":"2014-09-17T06:55:50","guid":{"rendered":"http:\/\/pageperso.math.univ-toulouse.fr\/mixomics\/?p=22956"},"modified":"2014-10-06T03:46:47","modified_gmt":"2014-10-06T03:46:47","slug":"tutorial-toulouse-october-6-7-2014","status":"publish","type":"post","link":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/2014\/09\/17\/tutorial-toulouse-october-6-7-2014\/","title":{"rendered":"Toulouse tutorial 6-7 Oct 2014: Details"},"content":{"rendered":"
\n

Training aims<\/h1>\n<\/div>\n

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. \u00a0In 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.<\/p>\n

\n
\n

Training program*<\/span><\/sup><\/h1>\n<\/div>\n
    \n
  1. Key methodologies in mixOmics and their variants<\/em>\n
      \n
    1. Principal Component Analysis: PCA, sparse PCA, NIPALS<\/li>\n
    2. Canonical Correlation Analysis: CCA, regularized CCA<\/li>\n
    3. Partial Least Squares regression: PLS, sparse PLS<\/li>\n
    4. Partial Least Squares Discriminant Analysis: PLS-DA, sparse PLS-DA<\/li>\n
    5. Recent developments in mixOmics, including multilevel PLS for repeated measurements and introduction to the integration of multiple data sets<\/li>\n<\/ol>\n<\/li>\n
    6. Review on the graphical outputs implemented in mixOmics<\/em>\n
        \n
      1. Sample plots<\/li>\n
      2. Correlation circles<\/li>\n
      3. Integrating two data sets: relevance networks and clustered image map<\/li>\n<\/ol>\n<\/li>\n
      4. Case studies and applications<\/em>\n
          \n
        1. Example with PCA: Nutrimouse<\/li>\n
        2. Example with CCA: Multidrug<\/li>\n
        3. Example with PLS: Liver toxicity<\/li>\n
        4. Example with PLS-DA: SRBCT study<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

          * The methodologies will be\u00a0presented throughout the two days training session. Each methodology will be illustrated on a case study (we will alternate theory and application).<\/p>\n

          Course material will be available in a hard printed copy and online.<\/p>\n<\/div>\n

          \n

          Other information<\/h1>\n<\/div>\n

          Details for registration are provided here<\/a>.<\/p>\n

          The session will take place in the formation room of the INRA center of Toulouse-Auzeville<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

          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. \u00a0In 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, […]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,4],"tags":[20],"class_list":["post-22956","post","type-post","status-publish","format-standard","hentry","category-graphics","category-news","tag-tutorial"],"_links":{"self":[{"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/posts\/22956","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/comments?post=22956"}],"version-history":[{"count":7,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/posts\/22956\/revisions"}],"predecessor-version":[{"id":22992,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/posts\/22956\/revisions\/22992"}],"wp:attachment":[{"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/media?parent=22956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/categories?post=22956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/perso.math.univ-toulouse.fr\/mixomics\/wp-json\/wp\/v2\/tags?post=22956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}