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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Korea Genome Organization
2020-03-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2020-18-1-e7.pdf |
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doaj-26edb3a246d44312aa614a501790bd1f2020-11-25T02:41:15ZengKorea Genome OrganizationGenomics & 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 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Mosaab Daoud |
| 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 |
| author_facet |
Mosaab Daoud |
| author_sort |
Mosaab Daoud |
| title |
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_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_sort |
note on the distance distribution paradigm for mosaab-metric to process segmented genomes of influenza virus |
| publisher |
Korea Genome Organization |
| series |
Genomics & Informatics |
| issn |
2234-0742 |
| publishDate |
2020-03-01 |
| 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. |
| 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 AT mosaabdaoud noteonthedistancedistributionparadigmformosaabmetrictoprocesssegmentedgenomesofinfluenzavirus |
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