Machine learning workflows identify a microRNA signature of insulin transcription in human tissues

Machine learning workflows identify a microRNA signature of insulin transcription in human tissues

Summary: Dicer knockout mouse models demonstrated a key role for microRNAs in pancreatic β-cell function. Studies to identify specific microRNA(s) associated with human (pro-)endocrine gene expression are needed. We profiled microRNAs and key pancreatic genes in 353 human tissue samples. Machine lea...

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Bibliographic Details
Main Authors: Wilson K.M. Wong, Mugdha V. Joglekar, Vijit Saini, Guozhi Jiang, Charlotte X. Dong, Alissa Chaitarvornkit, Grzegorz J. Maciag, Dario Gerace, Ryan J. Farr, Sarang N. Satoor, Subhshri Sahu, Tejaswini Sharangdhar, Asma S. Ahmed, Yi Vee Chew, David Liuwantara, Benjamin Heng, Chai K. Lim, Julie Hunter, Andrzej S. Januszewski, Anja E. Sørensen, Ammira S.A. Akil, Jennifer R. Gamble, Thomas Loudovaris, Thomas W. Kay, Helen E. Thomas, Philip J. O'Connell, Gilles J. Guillemin, David Martin, Ann M. Simpson, Wayne J. Hawthorne, Louise T. Dalgaard, Ronald C.W. Ma, Anandwardhan A. Hardikar
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:iScience
Subjects:
Pathophysiology
Computational Bioinformatics
Transcriptomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221003473

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http://www.sciencedirect.com/science/article/pii/S2589004221003473

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