Using machine learning approaches for multi-omics data analysis: A review-Reference-Cited by-同舟云学术

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Using machine learning approaches for multi-omics data analysis: A review

Published:2021-07 Issue: Volume:49 Page:107739
ISSN:0734-9750
Container-title:Biotechnology Advances
language:en
Short-container-title:Biotechnology Advances

Author:

Reel Parminder S.,Reel Smarti,Pearson Ewan,Trucco Emanuele,Jefferson Emily

Funder

Horizon 2020

University of Dundee

Horizon 2020 Framework Programme

National Institute for Health Research

Publisher

Elsevier BV

Subject

Biotechnology,Bioengineering,Applied Microbiology and Biotechnology

Reference352 articles.

1. Data integration and network reconstruction with ~omics data using Random Forest regression in potato;Acharjee;Anal. Chim. Acta,2011

2. Integration of multi-omics data for prediction of phenotypic traits using random forest;Acharjee;BMC Bioinformat.,2016

3. Asthma biomarkers: do they bring precision medicine closer to the clinic?;Agache;Allergy, Asthma Immunol. Res.,2017

4. An integrated approach to uncover drivers of cancer;Akavia;Cell,2010

5. Molecular Biology of the Cell 5E;Alberts,2008

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