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Automated Training for Algorithms That Learn from Genomic Data
Joint Authors
Cilingir, Gokcen
Broschat, Shira L.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Supervised machine learning algorithms are used by life scientists for a variety of objectives.
Expert-curated public gene and protein databases are major resources for gathering data totrain these algorithms.
While these data resources are continuously updated, generally, theseupdates are not incorporated into published machine learning algorithms which thereby canbecome outdated soon after their introduction.
In this paper, we propose a new model ofoperation for supervised machine learning algorithms that learn from genomic data.
By definingthese algorithms in a pipeline in which the training data gathering procedure and the learningprocess are automated, one can create a system that generates a classifier or predictor usinginformation available from public resources.
The proposed model is explained using three casestudies on SignalP, MemLoci, and ApicoAP in which existing machine learning models areutilized in pipelines.
Given that the vast majority of the procedures described for gatheringtraining data can easily be automated, it is possible to transform valuable machine learningalgorithms into self-evolving learners that benefit from the ever-changing data available forgene products and to develop new machine learning algorithms that are similarly capable.
American Psychological Association (APA)
Cilingir, Gokcen& Broschat, Shira L.. 2015. Automated Training for Algorithms That Learn from Genomic Data. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1054688
Modern Language Association (MLA)
Cilingir, Gokcen& Broschat, Shira L.. Automated Training for Algorithms That Learn from Genomic Data. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1054688
American Medical Association (AMA)
Cilingir, Gokcen& Broschat, Shira L.. Automated Training for Algorithms That Learn from Genomic Data. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1054688
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054688