Scipediacontent: Scipediacontent moved page Draft Content 786811180 to Sendi et al 2019a

2021-02-02T02:15:32Z

Scipediacontent moved page Draft Content 786811180 to Sendi et al 2019a

Scipediacontent: Created page with " == Abstract == Cloud-based computing has created new avenues for innovative research. In recent years, numerous cloud-based, data analysis projects within the biomedical dom..."

2021-02-02T02:15:27Z

Created page with " == Abstract == Cloud-based computing has created new avenues for innovative research. In recent years, numerous cloud-based, data analysis projects within the biomedical dom..."

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== Abstract ==

Cloud-based computing has created new avenues for innovative research. In recent years, numerous cloud-based, data analysis projects within the biomedical domain have been implemented. As this field is likely to grow, there is a need for a unified platform for the developing and testing of advanced analytic and modeling tools that enables those tools to be easily reused for the analysis of biomedical data by a broad set of users with diverse technical skills. A cloud-based platform of this nature could greatly assist future research endeavors. In this paper, we take the first step towards building such a platform. We define an approach by which containerized analytic pipelines can be distributed for use on cloud-based or on-premise computing platforms. We demonstrate our approach by implementing a portable biomarker identification pipeline using a logistic regression model with elastic net regularization (LR-ENR) and running it on the Google cloud. We used this pipeline for the diagnosis of Parkinson’s disease based on a combination of clinical, demographic, and MRI-based features and for the identification of the most predictive biomarkers.

== Original document ==

The different versions of the original document can be found in:

* [https://europepmc.org/articles/PMC7390749 https://europepmc.org/articles/PMC7390749]

* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390749 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390749]

* [http://xplorestaging.ieee.org/ielx7/8844528/8856280/08856929.pdf?arnumber=8856929 http://xplorestaging.ieee.org/ielx7/8844528/8856280/08856929.pdf?arnumber=8856929],
: [http://dx.doi.org/10.1109/embc.2019.8856929 http://dx.doi.org/10.1109/embc.2019.8856929]

* [https://dblp.uni-trier.de/db/conf/embc/embc2019.html#EllisGSHSM19 https://dblp.uni-trier.de/db/conf/embc/embc2019.html#EllisGSHSM19],
: [https://www.ncbi.nlm.nih.gov/pubmed/31946857 https://www.ncbi.nlm.nih.gov/pubmed/31946857],
: [https://academic.microsoft.com/#/detail/2980042205 https://academic.microsoft.com/#/detail/2980042205]

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Sendi et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 786811180 to Sendi et al 2019a

Scipediacontent: Created page with " == Abstract == Cloud-based computing has created new avenues for innovative research. In recent years, numerous cloud-based, data analysis projects within the biomedical dom..."