Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces
In this paper, we propose a window-based mechanism visualization approach as an alternative way to measure the seriousness of the difference among data-insights extracted from a composite biodata point. The approach is based on two components: undirected graph and Mosaab-metric space. The significan...
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| Format: | Article |
| Language: | English |
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Korea Genome Organization
2019-03-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-1-e4.pdf |
| _version_ | 1811287583346393088 |
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| author | Mosaab Daoud |
| author_facet | Mosaab Daoud |
| author_sort | Mosaab Daoud |
| collection | DOAJ |
| description | In this paper, we propose a window-based mechanism visualization approach as an alternative way to measure the seriousness of the difference among data-insights extracted from a composite biodata point. The approach is based on two components: undirected graph and Mosaab-metric space. The significant application of this approach is to visualize the segmented genome of a virus. We use Influenza and Ebola viruses as examples to demonstrate the robustness of this approach and to conduct comparisons. This approach can provide researchers with deep insights about information structures extracted from a segmented genome as a composite biodata point, and consequently, to capture the segmented genetic variations and diversity (variants) in composite data points. |
| first_indexed | 2024-04-13T03:20:44Z |
| format | Article |
| id | doaj.art-afbcab3bc6b9419fa3472048d034c1ea |
| institution | Directory Open Access Journal |
| issn | 2234-0742 |
| language | English |
| last_indexed | 2024-04-13T03:20:44Z |
| publishDate | 2019-03-01 |
| publisher | Korea Genome Organization |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj.art-afbcab3bc6b9419fa3472048d034c1ea2022-12-22T03:04:47ZengKorea Genome OrganizationGenomics & Informatics2234-07422019-03-0117110.5808/GI.2019.17.1.e4548Insights of window-bsed mechanism approach to visualize composite bioData point in feature spacesMosaab Daoud0 Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, CanadaIn this paper, we propose a window-based mechanism visualization approach as an alternative way to measure the seriousness of the difference among data-insights extracted from a composite biodata point. The approach is based on two components: undirected graph and Mosaab-metric space. The significant application of this approach is to visualize the segmented genome of a virus. We use Influenza and Ebola viruses as examples to demonstrate the robustness of this approach and to conduct comparisons. This approach can provide researchers with deep insights about information structures extracted from a segmented genome as a composite biodata point, and consequently, to capture the segmented genetic variations and diversity (variants) in composite data points.http://genominfo.org/upload/pdf/gi-2019-17-1-e4.pdfcomposite biodata pointdiversityMosaab-metric spacesegmented genetic variationsseriousness of the differencevariantsvisualizationwindow-based mechanism |
| spellingShingle | Mosaab Daoud Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces Genomics & Informatics composite biodata point diversity Mosaab-metric space segmented genetic variations seriousness of the difference variants visualization window-based mechanism |
| title | Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces |
| title_full | Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces |
| title_fullStr | Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces |
| title_full_unstemmed | Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces |
| title_short | Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces |
| title_sort | insights of window bsed mechanism approach to visualize composite biodata point in feature spaces |
| topic | composite biodata point diversity Mosaab-metric space segmented genetic variations seriousness of the difference variants visualization window-based mechanism |
| url | http://genominfo.org/upload/pdf/gi-2019-17-1-e4.pdf |
| work_keys_str_mv | AT mosaabdaoud insightsofwindowbsedmechanismapproachtovisualizecompositebiodatapointinfeaturespaces |