NDLI: Reinforcement Learning Method for BioAgents

Content Provider	IEEE Xplore Digital Library
Author	Ralha, C.G. Schneider, H.W. Walter, M.E.M.T. Cetertich Bazzan, A.L.
Copyright Year	2010
Abstract	Machine Learning (ML) techniques are being employed in bioinformatics with increasing success. However, two problems are still prohibitive for symbolic ML methods: huge amount of data and lack of examples for training purposes. Thus, this paper introduces the use of reinforcement learning (RL), with the objective of dealing with these two drawbacks. Our work proposes and implement a RL method for the Bio Agents system, in order to improve the annotation of biological sequences in genome sequencing projects. Experiments were done with real data from two different genome sequencing projects: Paracoccidioides brasiliensis - Pb fungus and Paullinia cupana - Guaraná plant. To assign reinforcement signals we have used reference genomes with curated annotations that are considered correct, these signals tackle specific databases and alignment algorithms. The results obtained with the inclusion of a RL layer in Bio Agents were better compared with the system without the proposed method. Also, to the best of our knowledge, this is the first attempt to apply RL techniques to annotation in bioinformatics projects.
Starting Page	109
Ending Page	114
File Size	254880
Page Count	6
File Format	PDF
ISBN	9781424483914
ISSN	15224899
DOI	10.1109/SBRN.2010.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bioinformatics Genomics Databases Lead Manuals Protocols bioinformatics machine learning reinforcement learning reinforcement learning method BioAgents
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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