Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM-Reference-Cited by-同舟云学术

Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM

Published:2020 Issue: Volume: Page:480-492
ISSN:1865-1348
Container-title:Information Systems
language:
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Author:

Abdulsalam Sulaiman Olaniyi,Mohammed Abubakar Adamu,Ajao Jumoke Falilat,Babatunde Ronke S.,Ogundokun Roseline Oluwaseun,Nnodim Chiebuka T.,Arowolo Micheal Olaolu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-63396-7_32

Reference36 articles.

1. Aaron, T.L., Davis, J.M, John, C.M.: A step-by-step workflow for low-level analysis of single-cell RNA-seq data. Research 1(5), 1–62. https://doi.org/10.12688/f1000research.9501.2

2. Ana, C., et al.: A survey of best practices for RNA-seq data analysis. Genome Biol. 17(13), 1–19 (2016). https://doi.org/10.1186/s13059-016-0881-8

3. Levin, J.Z., et al.: Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat. Methods 7, 709–715 (2010)

4. Pierson, E., Yau, C.: ZIFA: dimensionality reduction for zero-inflated single-cell gene expression analysis. Genome Biol. 16, 241–257 (2015)

5. Dongfang, W., Jin, G.: VASC: dimension reduction and visualization of single-cell RNA-seq data by deep variation autoencoder. Genom. Proteom. Bioinform. (2018). https://doi.org/10.1016/j.gpb.2018.08.03

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