An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods

Authors

Houda Fyad
Fatiha Barigou
Karim Bouamrane

DOI

10.9781/ijimai.2020.05.004

Abstract

Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple experiments. In this regard, many machine learning approaches were proposed to deal with this deluge of information. Clustering methods are one of these approaches. Their process consists of grouping data (gene profiles) into homogeneous clusters using distance measurements. Various clustering techniques are

Source Publication

International Journal of Interactive Multimedia and Artificial Intelligence

Recommended Citation

Fyad, Houda; Barigou, Fatiha; and Bouamrane, Karim (2020) "An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods," International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 6: Iss. 2, Article 5.
DOI: 10.9781/ijimai.2020.05.004
Available at: https://ijimai.researchcommons.org/ijimai/vol6/iss2/5