Merging multiple omics datasets in silico: statistical analyses and data interpretation.

@article{Arakawa2013MergingMO,
  title={Merging multiple omics datasets in silico: statistical analyses and data interpretation.},
  author={Kazuharu Arakawa and Masaru Tomita},
  journal={Methods in molecular biology},
  year={2013},
  volume={985},
  pages={459-70}
}
By the combinations of high-throughput analytical technologies in the fields of transcriptomics, proteomics, and metabolomics, we are now able to gain comprehensive and quantitative snapshots of the intracellular processes. Dynamic intracellular activities and their regulations can be elucidated by systematic observation of these multi-omics data. On the other hand, careful statistical analysis is necessary for such integration, since each of the omics layers as well as the specific analytical… CONTINUE READING
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