A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus

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 b...

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Main Author: Mosaab Daoud
Format: Article
Language:English
Published: BioMed Central 2020-03-01
Series:Genomics & Informatics
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Online Access:http://genominfo.org/upload/pdf/gi-2020-18-1-e7.pdf
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author Mosaab Daoud
author_facet Mosaab Daoud
author_sort Mosaab Daoud
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2234-0742
language English
publishDate 2020-03-01
publisher BioMed Central
record_format Article
series Genomics & Informatics
spelling doaj-art-26edb3a246d44312aa614a501790bd1f2025-02-02T13:44:53ZengBioMed CentralGenomics & Informatics2234-07422020-03-0118110.5808/GI.2020.18.1.e7597A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virusMosaab DaoudIn 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.http://genominfo.org/upload/pdf/gi-2020-18-1-e7.pdfcomposite data pointdistance distribution paradigmmosaab-metric spacesegmented genome of influenza virus
spellingShingle Mosaab Daoud
A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
Genomics & Informatics
composite data point
distance distribution paradigm
mosaab-metric space
segmented genome of influenza virus
title A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
title_full A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
title_fullStr A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
title_full_unstemmed A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
title_short A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
title_sort note on the distance distribution paradigm for mosaab metric to process segmented genomes of influenza virus
topic composite data point
distance distribution paradigm
mosaab-metric space
segmented genome of influenza virus
url http://genominfo.org/upload/pdf/gi-2020-18-1-e7.pdf
work_keys_str_mv AT mosaabdaoud anoteonthedistancedistributionparadigmformosaabmetrictoprocesssegmentedgenomesofinfluenzavirus
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