Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows.
- Publisher:
- Elsevier BV
- Publication Type:
- Journal Article
- Citation:
- STAR Protoc, 2021, 2, (4), pp. 100910
- Issue Date:
- 2021-12-17
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MicroRNAs (miRNAs) are elements of the gene regulatory network and manipulating their abundance is essential toward elucidating their role in patho-physiological conditions. We present a detailed workflow that identifies important miRNAs using a machine learning algorithm. We then provide optimized techniques to validate the identified miRNAs through over-expression/loss-of-function studies. Overall, these protocols apply to any field in biology where high-dimensional data are produced. For complete details on the use and execution of this protocol, please refer to Wong et al. (2021a).
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