Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
30
March
2017
Publication date Collection: 2017
Volume: 12
Issue: 3
Electronic Location Identifier: e0174638
Affiliations
[1
]College of Communication Engineering, Chongqing University, Chongqing, China
[2
]Key Laboratory of Chongqing for Bio-perception and Intelligent Information Processing,
Chongqing, China
[3
]Chongqing City Management College, Chongqing, China
Instituto Nacional de Medicina Genomica, MEXICO
Author notes
Competing Interests: The authors have declared that no competing interests exist.
-
Conceptualization: XL BJW.
-
-
Formal analysis: XL BJW HLT GQX.
-
-
Investigation: XL BJW LX.
-
-
Project administration: XL.
-
-
-
-
Validation: XL BJW LX HLT.
-
-
Writing – original draft: XL BJW LX HLT.
-
Writing – review & editing: XL BJW HLT GQX.
Article
Publisher ID:
PONE-D-16-33362
DOI: 10.1371/journal.pone.0174638
PMC ID: 5373589
PubMed ID: 28358836
SO-VID: 0b056c62-6488-402b-9ca2-4890ca25ea3b
Copyright © © 2017 Liu et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
Award ID: 61001157
Award Recipient
:
Xiao Liu
Funded by: Fundamental Research Funds for the Central Universities
Award ID: 106112014CDJZR165503
Award Recipient
:
Xiao Liu
This work was supported by the National Natural Science Foundation of China (Grant
No. 61001157), the China Postdoctoral Science Foundation funded project (Grant No.
2012M521673), and the Fundamental Research Funds for the Central Universities (Project
No. 106112014CDJZR165503, CDJRC10160011, CDJZR12160007).
Subject:
Research Article
Subject:
Biology and Life Sciences
Subject:
Computational Biology
Subject:
Genome Analysis
Subject:
Gene Prediction
Subject:
Biology and Life Sciences
Subject:
Genetics
Subject:
Genomics
Subject:
Genome Analysis
Subject:
Gene Prediction
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Biology and Life Sciences
Subject:
Microbiology
Subject:
Bacteriology
Subject:
Gram Negative Bacteria
Subject:
Biology and Life Sciences
Subject:
Microbiology
Subject:
Bacteriology
Subject:
Gram Positive Bacteria
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics (Mathematics)
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Support Vector Machines
Subject:
Research and Analysis Methods
Subject:
Experimental Organism Systems
Subject:
Model Organisms
Subject:
Saccharomyces Cerevisiae
Subject:
Research and Analysis Methods
Subject:
Model Organisms
Subject:
Saccharomyces Cerevisiae
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Fungi
Subject:
Yeast
Subject:
Saccharomyces
Subject:
Saccharomyces Cerevisiae
Subject:
Research and Analysis Methods
Subject:
Experimental Organism Systems
Subject:
Yeast and Fungal Models
Subject:
Saccharomyces Cerevisiae
Subject:
Biology and Life Sciences
Subject:
Ecology
Subject:
Ecological Metrics
Subject:
Species Diversity
Subject:
Ecology and Environmental Sciences
Subject:
Ecology
Subject:
Ecological Metrics
Subject:
Species Diversity
