NDLI: A New Approach for Combining Knowledge From Multiple Coexpression Networks of MicroRNAs

Content Provider	IEEE Xplore Digital Library
Author	Bhattacharyya, M. Das, M. Bandyopadhyay, S.
Copyright Year	1964
Abstract	MicroRNAs (miRNAs) are a class of small non-coding RNAs that are known to have critical functions across various biological processes. Simultaneous activities of multiple miRNAs can be monitored from their expression profiles under various conditions. We often build up coexpression networks from such profiles. Unfortunately, due to the change of experimental setups (or conditions), the expression profiles do change, and consequently, the patterns of the coexpression networks vary. To obtain a robust functional relationship between miRNAs, by integrating different coexpression networks in a systems biology approach, we have to combine them properly. Here, we evaluate the state-of-the-art techniques and propose a novel integrative measure, and a corresponding methodology, that might be useful for identifying the dependence between coexpression and functional similarity. We establish the results by evaluating the expression profiles of miRNAs taken from bone marrow samples of patients with leukemia. The findings highlight the potential of the integrative algorithm in analyzing the expression profiles of miRNAs for further study.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	7
File Size	552538
Starting Page	2167
Ending Page	2173
File Format	PDF
ISSN	00189294
Volume Number	60
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diseases Cancer Correlation Robustness Molecular biophysics Couplings Tumors network integration coexpression network MicroRNAs (miRNAs)
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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