Mining Seasonal Marine Microbial Pattern with Greedy Heuristic Clustering and Symmetrical Nonnegative Matrix Factorization
Joint Authors
Liu, Fei
Zhou, Chen
Wei, Ze-Gang
Chen, Wei
Zhang, Shao-Wu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
With the development of high-throughput and low-cost sequencing technology, a large number of marine microbial sequences were generated.
The association patterns between marine microbial species and environment factors are hidden in these large amount sequences.
Mining these association patterns is beneficial to exploit the marine resources.
However, very few marine microbial association patterns are well investigated in this field.
The present study reports the development of a novel method called HC-sNMF to detect the marine microbial association patterns.
The results show that the four seasonal marine microbial association networks have characters of complex networks, the same environmental factor influences different species in the four seasons, and the correlative relationships are stronger between OTUs (taxa) than with environmental factors in the four seasons detecting community.
American Psychological Association (APA)
Liu, Fei& Zhang, Shao-Wu& Wei, Ze-Gang& Chen, Wei& Zhou, Chen. 2014. Mining Seasonal Marine Microbial Pattern with Greedy Heuristic Clustering and Symmetrical Nonnegative Matrix Factorization. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453096
Modern Language Association (MLA)
Liu, Fei…[et al.]. Mining Seasonal Marine Microbial Pattern with Greedy Heuristic Clustering and Symmetrical Nonnegative Matrix Factorization. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-453096
American Medical Association (AMA)
Liu, Fei& Zhang, Shao-Wu& Wei, Ze-Gang& Chen, Wei& Zhou, Chen. Mining Seasonal Marine Microbial Pattern with Greedy Heuristic Clustering and Symmetrical Nonnegative Matrix Factorization. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453096