- Insights of window-bsed mechanism approach to visualize composite bioData point in feature spaces
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Daoud M
- KMID: 2447794
- Genomics Inform.
- 2019 Mar;17(1):e4.
- doi: 10.5808/GI.2019.17.1.e4
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... -
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- The extension of the largest generalized-eigenvalue based distance metric D(ij)(γâ‚) in arbitrary feature spaces to classify composite data points
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Daoud M
- KMID: 2468865
- Genomics Inform.
- 2019 Dec;17(4):e39.
- doi: 10.5808/GI.2019.17.4.e39
Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine... -
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- Detecting outliers in segmented genomes of flu virus using an alignment-free approach
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Daoud M
- KMID: 2501322
- Genomics Inform.
- 2020 Mar;18(1):e2.
- doi: 10.5808/GI.2020.18.1.e2
In this paper, we propose a new approach to detecting outliers in a set of segmented genomes of the flu virus, a data set with a heterogeneous set of sequences.... -
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- A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus
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Daoud M
- KMID: 2501327
- Genomics Inform.
- 2020 Mar;18(1):e7.
- doi: 10.5808/GI.2020.18.1.e7
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... -
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