Multivariate gene-set testing based on graphical models.

@article{Stdler2015MultivariateGT,
  title={Multivariate gene-set testing based on graphical models.},
  author={Nicolas St{\"a}dler and Sach Mukherjee},
  journal={Biostatistics},
  year={2015},
  volume={16 1},
  pages={47-59}
}
The identification of predefined groups of genes ("gene-sets") which are differentially expressed between two conditions ("gene-set analysis", or GSA) is a very popular analysis in bioinformatics. GSA incorporates biological knowledge by aggregating over genes that are believed to be functionally related. This can enhance statistical power over analyses that consider only one gene at a time. However, currently available GSA approaches are based on univariate two-sample comparison of single… CONTINUE READING
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