1. A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
- Author
-
Mosaab Daoud
- Subjects
lcsh:QH426-470 ,Computer science ,Process (engineering) ,Feature extraction ,Health Informatics ,computer.software_genre ,mosaab-metric space ,03 medical and health sciences ,Research Communication ,0302 clinical medicine ,Genetics ,segmented genome of influenza virus ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,0303 health sciences ,Point (typography) ,distance distribution paradigm ,composite data point ,Pipeline (software) ,lcsh:Genetics ,Data point ,Feature (computer vision) ,030220 oncology & carcinogenesis ,Technical analysis ,Metric (mathematics) ,Data mining ,computer - Abstract
In this paper, we present few technical notes about the distance distribution paradigm for Mosaab-metric using 1, 2, and 3 grams feature extraction techniques to analyze composite data points in high dimensional feature spaces. This technical analysis will help the specialist in bioinformatics and biotechnology to deeply explore the biodiversity of influenza virus genome as a composite data point. Various technical examples are presented in this paper, in addition, the integrated statistical learning pipeline to process segmented genomes of influenza virus is illustrated as sequential-parallel computational pipeline.
- Published
- 2020