Targeted unsupervised features learning for gene expression data analysis to predict cancer stage-Reference-Cited by-同舟云学术

Targeted unsupervised features learning for gene expression data analysis to predict cancer stage

Published:2019-12-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics
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Author:

Zenbout Imene¹,Bouramoul Abdelkrim¹,Meshoul Souham²

Affiliation:

1. Abedlhamid Mehri University, Algeria

2. Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

ACM

Reference28 articles.

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4. R. R. Bhat V. Viswanath and X. Li. 2017. DeepCancer: Detecting Cancer via Deep Generative Learning Through Gene Expressions. In 2017 IEEE 15th Intl Conf on Dependable Autonomic and Secure Computing 15th Intl Conf on Pervasive Intelligence and Computing 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). 901--908. R. R. Bhat V. Viswanath and X. Li. 2017. DeepCancer: Detecting Cancer via Deep Generative Learning Through Gene Expressions. In 2017 IEEE 15th Intl Conf on Dependable Autonomic and Secure Computing 15th Intl Conf on Pervasive Intelligence and Computing 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). 901--908.

5. Amit Bhola and Arvind Tiwari. 2015. Machine Learning Based Approaches for Cancer Classification Using Gene Expression Data. Machine Learning and Applications: An International Journal 2 (12 2015) 01--12. Amit Bhola and Arvind Tiwari. 2015. Machine Learning Based Approaches for Cancer Classification Using Gene Expression Data. Machine Learning and Applications: An International Journal 2 (12 2015) 01--12.

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