Identification of Essential Genes with NemoProfile and Various Machine Learning Models-Reference-Cited by-同舟云学术

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Identification of Essential Genes with NemoProfile and Various Machine Learning Models

Published:2020 Issue: Volume: Page:319-326
ISSN:0302-9743
Container-title:Bioinformatics Research and Applications
language:
Short-container-title:

Author:

Wang Yangxiao,Kim Wooyoung

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57821-3_30

Reference18 articles.

1. Almas, A., Farquad, M.A.H., Avala, N.S.R., Sultana, J.: Enhancing the performance of decision tree: a research study of dealing with unbalanced data. In: Seventh International Conference on Digital Information Management (ICDIM 2012), pp. 7–10, August 2012

2. Andersen, A., Kim, W., Fukuda, M.: MASS-based nemoprofile construction for an efficient network motif search. In: 2016 IEEE International Conferences on Big Data and Cloud Computing, pp. 601–606, October 2016

3. Berkson, J.: Application of the logistic function to bio-assay. J. Am. Stat. Assoc. 39(227), 357–365 (1944)

4. Chapelle, O., Haffner, P., Vapnik, V.: Support vector machines for histogram-based image classification. IEEE Trans. Neural Netw. 10(5), 1055–1064 (1999)

5. Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21–27 (1967)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NemoSuite: Web-based Network Motif Analytic Suite;Advances in Science, Technology and Engineering Systems Journal;2020-12

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