Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).
<p>Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the <i>KL</i> divergence between pairs of Gaus...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2024
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إضافة وسم
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| _version_ | 1852026104089411584 |
|---|---|
| author | Diana C. de Oliveira (9220729) |
| author2 | Hani Cheikh Sleiman (19812765) Kelly Payette (17584953) Jana Hutter (9649694) Lisa Story (9649688) Joseph V. Hajnal (15217415) Daniel C. Alexander (9466684) Rebecca J. Shipley (11098888) Paddy J. Slator (19812768) |
| author2_role | author author author author author author author author |
| author_facet | Diana C. de Oliveira (9220729) Hani Cheikh Sleiman (19812765) Kelly Payette (17584953) Jana Hutter (9649694) Lisa Story (9649688) Joseph V. Hajnal (15217415) Daniel C. Alexander (9466684) Rebecca J. Shipley (11098888) Paddy J. Slator (19812768) |
| author_role | author |
| dc.creator.none.fl_str_mv | Diana C. de Oliveira (9220729) Hani Cheikh Sleiman (19812765) Kelly Payette (17584953) Jana Hutter (9649694) Lisa Story (9649688) Joseph V. Hajnal (15217415) Daniel C. Alexander (9466684) Rebecca J. Shipley (11098888) Paddy J. Slator (19812768) |
| dc.date.none.fl_str_mv | 2024-10-07T17:36:38Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1012470.g011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Boxplots_displaying_i_KL_i_divergence_results_indicating_variability_of_key_topological_metrics_obtained_after_multiple_algorithm_runs_for_the_generation_of_chorionic_vessels_A_and_villous_vessels_B-D_/27182829 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Physiology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified yielding vascular structures unlike previous volume sensitivity analysis highlights generating vascular structures facilitating oxygen exchange different topological metrics following branching laws branching angles play placental vascular network placental health issues novel generative algorithm flexible generative algorithm vascular architecture correlates key morphological parameters vessel length variations ex vivo </ morphological parameters vivo </ vessel length branching angle vessel diameter silico </ placental vasculatures placental vasculature placental shape placental function xlink "> successful pregnancy pivotal role physiologically underpinned nutrient transport murray ’ law ), input settings individual components filling algorithms early detection controlled customisation complete structure chorionic vessels |
| dc.title.none.fl_str_mv | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the <i>KL</i> divergence between pairs of Gaussians from the output space. With 50 algorithm runs, this results in 1225 Gaussian combinations and <i>KL</i> divergence values per output metric, represented for (A) chorionic vessels, (B) healthy villous vessels, and (C) FGR-associated villous vessels. (D) A similar analysis using 50 healthy and 50 FGR fetal trees was conducted, focusing on healthy-dysfunctional output metric pairs to derive the <i>KL</i> divergence.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_5cc75c20313aa45f48b81dfd1789a01d |
| identifier_str_mv | 10.1371/journal.pcbi.1012470.g011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27182829 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).Diana C. de Oliveira (9220729)Hani Cheikh Sleiman (19812765)Kelly Payette (17584953)Jana Hutter (9649694)Lisa Story (9649688)Joseph V. Hajnal (15217415)Daniel C. Alexander (9466684)Rebecca J. Shipley (11098888)Paddy J. Slator (19812768)BiophysicsPhysiologyBiotechnologyEvolutionary BiologyDevelopmental BiologyInfectious DiseasesPlant BiologyComputational BiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedyielding vascular structuresunlike previous volumesensitivity analysis highlightsgenerating vascular structuresfacilitating oxygen exchangedifferent topological metricsfollowing branching lawsbranching angles playplacental vascular networkplacental health issuesnovel generative algorithmflexible generative algorithmvascular architecture correlateskey morphological parametersvessel length variationsex vivo </morphological parametersvivo </vessel lengthbranching anglevessel diametersilico </placental vasculaturesplacental vasculatureplacental shapeplacental functionxlink ">successful pregnancypivotal rolephysiologically underpinnednutrient transportmurray ’law ),input settingsindividual componentsfilling algorithmsearly detectioncontrolled customisationcomplete structurechorionic vessels<p>Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the <i>KL</i> divergence between pairs of Gaussians from the output space. With 50 algorithm runs, this results in 1225 Gaussian combinations and <i>KL</i> divergence values per output metric, represented for (A) chorionic vessels, (B) healthy villous vessels, and (C) FGR-associated villous vessels. (D) A similar analysis using 50 healthy and 50 FGR fetal trees was conducted, focusing on healthy-dysfunctional output metric pairs to derive the <i>KL</i> divergence.</p>2024-10-07T17:36:38ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1012470.g011https://figshare.com/articles/figure/Boxplots_displaying_i_KL_i_divergence_results_indicating_variability_of_key_topological_metrics_obtained_after_multiple_algorithm_runs_for_the_generation_of_chorionic_vessels_A_and_villous_vessels_B-D_/27182829CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/271828292024-10-07T17:36:38Z |
| spellingShingle | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). Diana C. de Oliveira (9220729) Biophysics Physiology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified yielding vascular structures unlike previous volume sensitivity analysis highlights generating vascular structures facilitating oxygen exchange different topological metrics following branching laws branching angles play placental vascular network placental health issues novel generative algorithm flexible generative algorithm vascular architecture correlates key morphological parameters vessel length variations ex vivo </ morphological parameters vivo </ vessel length branching angle vessel diameter silico </ placental vasculatures placental vasculature placental shape placental function xlink "> successful pregnancy pivotal role physiologically underpinned nutrient transport murray ’ law ), input settings individual components filling algorithms early detection controlled customisation complete structure chorionic vessels |
| status_str | publishedVersion |
| title | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| title_full | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| title_fullStr | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| title_full_unstemmed | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| title_short | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| title_sort | Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D). |
| topic | Biophysics Physiology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified yielding vascular structures unlike previous volume sensitivity analysis highlights generating vascular structures facilitating oxygen exchange different topological metrics following branching laws branching angles play placental vascular network placental health issues novel generative algorithm flexible generative algorithm vascular architecture correlates key morphological parameters vessel length variations ex vivo </ morphological parameters vivo </ vessel length branching angle vessel diameter silico </ placental vasculatures placental vasculature placental shape placental function xlink "> successful pregnancy pivotal role physiologically underpinned nutrient transport murray ’ law ), input settings individual components filling algorithms early detection controlled customisation complete structure chorionic vessels |