Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 perakakis2018omics
%A Perakakis, Nikolaos
%A Yazdani, Alireza
%A Karniadakis, George E
%A Mantzoros, Christos
%D 2018
%I Elsevier
%J Metabolism-Clinical and Experimental
%K multiomics omics descritpion methods machine learning review survey editorial citedby:scholar:count:25 citedby:scholar:timestamp:2020-8-6
%P A1--A9
%T Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics
%V 87
@article{perakakis2018omics,
added-at = {2020-08-06T03:53:02.000+0200},
author = {Perakakis, Nikolaos and Yazdani, Alireza and Karniadakis, George E and Mantzoros, Christos},
biburl = {https://www.bibsonomy.org/bibtex/29329f845a064e10d5413ce215a33e1f6/becker},
interhash = {26b33624c6d739a5507469d6c943f9b0},
intrahash = {9329f845a064e10d5413ce215a33e1f6},
journal = {Metabolism-Clinical and Experimental},
keywords = {multiomics omics descritpion methods machine learning review survey editorial citedby:scholar:count:25 citedby:scholar:timestamp:2020-8-6},
pages = {A1--A9},
publisher = {Elsevier},
timestamp = {2020-08-06T03:53:02.000+0200},
title = {Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics},
volume = 87,
year = 2018
}