Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows

Vijit Saini, Mugdha V. Joglekar, Wilson K.M. Wong, Guozhi Jiang, Najah T. Nassif, Ann M. Simpson, Ronald C.W. Ma, Louise T. Dalgaard, Anandwardhan A. Hardikar*

*Corresponding author

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

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).

OriginalsprogEngelsk
Artikelnummer100910
TidsskriftSTAR protocols
Vol/bind2
Udgave nummer4
ISSN2666-1667
DOI
StatusUdgivet - 17 dec. 2021

Citer dette