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@ARTICLE{Vasilevski:21041,
      author       = {Vasilevski, A. and F.M. Giorgi, F.M. and Bertinetti, L. and
                      Usadel, B.},
      title        = {{LASSO} modeling of the {A}rabidopsis thaliana
                      seed/seedling {T}ranscriptome: a model case for detection of
                      novel mucilage and pectin metabolism genes},
      journal      = {Molecular BioSystems},
      volume       = {8},
      issn         = {1742-206X},
      address      = {Cambridge},
      publisher    = {Royal Society of Chemistry},
      reportid     = {PreJuSER-21041},
      pages        = {2566 - 2574},
      year         = {2012},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Whole genome transcript correlation-based approaches have
                      been shown to be enormously useful for candidate gene
                      detection. Consequently, simple Pearson correlation has been
                      widely applied in several web based tools. That said,
                      several more sophisticated methods based on e.g. mutual
                      information or Bayesian network inference have been
                      developed and have been shown to be theoretically superior
                      but are not yet commonly applied. Here, we propose the
                      application of a recently developed statistical regression
                      technique, the LASSO, to detect novel candidates from high
                      throughput transcriptomic datasets. We apply the LASSO to a
                      tissue specific dataset in the model plant Arabidopsis
                      thaliana to identify novel players in Arabidopsis thaliana
                      seed coat mucilage synthesis. We built LASSO models based on
                      a list of genes known to be involved in a sub-pathway of
                      Arabidopsis mucilage synthesis. After identifying a putative
                      transcription factor, we verified its involvement in
                      mucilage synthesis by obtaining knock-out mutants for this
                      gene. We show that a loss of function of this putative
                      transcription factor leads to a significant decrease in
                      mucilage pectin.},
      cin          = {IBG-2},
      ddc          = {540},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:22735692},
      UT           = {WOS:000308098600013},
      doi          = {10.1039/c2mb25096a},
      url          = {https://juser.fz-juelich.de/record/21041},
}