dataset 1 kaggle (Kaggle Inc)
86
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Kaggle Inc
dataset 1 kaggle
Dataset 1 Kaggle, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dataset_1/1+dataset/pm42049866-211-8-10
Average 86 stars, based on 1 article reviews
Dataset 1 Kaggle, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dataset_1/1+dataset/pm42049866-211-8-10
Average 86 stars, based on 1 article reviews
dataset 1 kaggle - by Bioz Stars,
2026-10
86/100 stars
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![Segmentation quality evaluation. a Predicted (C) and ground-truth (R) border positions are compared using Jaccard similarity (J), its expanded variant allowing \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\pm 1$$\end{document} ± 1 positions ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {J}_{\textrm{exp}}$$\end{document} J exp ), and the bi-directional Chamfer distance (CD). Event-level alignment is performed by index-overlap matching (MS), constructing an alignment matrix and traceback to identify matches (m), insertions (i), and deletions (d). Alignment ratios and an alignment score (AS) are computed from aligned pairs (A). Event accuracy is quantified by the L1 distance between z-normalized event means ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu _C$$\end{document} μ C , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu _R$$\end{document} μ R ). Finally, reference k-mers are assigned to predicted events, and Pearson’s r is computed between predicted event means ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu _C$$\end{document} μ C ) and expected k-mer levels ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu _k$$\end{document} μ k ). b The segmentation quality <t>evaluation</t> <t>for</t> <t>R10.4.1</t> Zymo <t>D6322</t> dataset, R10.4.1 Human NA12878 dataset, R9.4.1 Zymo D6322 dataset, and R9.4.1 Human NA12878 dataset, in that order. Both Zymo datasets are prepared without E. coli reads that were used for training. Segmentation results are compared against the segmentation obtained by the Scrappie algorithm with the hyperparameter set defined by Sigmoni (denoted as Scrappie S) and RawHash2 (denoted as Scrappie R). All metrics are calculated as shown in ( a ). L1 and Pearson’s r are calculated for all alignments and matches only](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_8622/pmc12918622/pmc12918622__13059_2026_3950_Fig4_HTML.jpg)
