Читать книгу Machine Learning Techniques and Analytics for Cloud Security - Группа авторов - Страница 40

Shillpi Mishrra

Department of Computer Science and Engineering, Techno India University, Kolkata, India

Abstract

Influenza A (H1N1) virus created a pandemic situation around the world from 1918 to 1919. More than 10,000 cases have been reported to the World Health Organization (WHO). It affects species and sometimes in humans. Binding of hemagglutinin and some types of glycan receptors is the major ingredients for virus infections. In this work, we take both H1N1 infected human and non-infected human glycan datasets and identify differentially expressed glycans. In this work, we narrate a computational frame work using the cluster algorithm, namely, k-means, hierarchical, and fuzzy c-means. The entire methodology has been demonstrated on glycan datasets and recognizes the set of glycans that are significantly expressed from normal state to infected state. The result of the methodology has been validated using t-test and F-score.

Keywords: Glycan receptors, differentially expressed glycan, clustering, k-means, fuzzy, F-score, glycan cloud