Chaotic emperor penguin optimised extreme learning machine for microarray cancer classification-Reference-Cited by-同舟云学术

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Chaotic emperor penguin optimised extreme learning machine for microarray cancer classification

Published:2020-04 Issue:2 Volume:14 Page:85-95
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET syst. biol.

Author:

Baliarsingh Santos Kumar¹,Vipsita Swati¹

Affiliation:

1. DST‐FIST Bioinformatics Lab, Department of Computer Science and EngineeringInternational Institute of Information TechnologyBhubaneswarIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modelling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-syb.2019.0028

Reference60 articles.

1. Gene expression feature selection for prostate cancer diagnosis using a two‐phase heuristic–deterministic search strategy;Shahbeig S.;IET Syst. Biol.,2018

2. Lung cancer prediction from microarray data by gene expression programming;Azzawi H.;IET Syst. Biol.,2016

3. Prediction of human disease‐associated phosphorylation sites with combined feature selection approach and support vector machine;Xu X.;IET Syst. Biol.,2015

4. Cancers classification based on deep neural networks and emotional learning approach;Jafarpisheh N.;IET Syst. Biol.,2018

5. Landslide susceptibility assesssment in the uttarakhand area (India) using gis: a comparison study of prediction capability of naïve Bayes, multilayer perceptron neural networks, and functional trees methods;Pham B.T.;Theor. Appl. Climatol.,2017

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