Výsledky vyhledávání - "Eric T. Leung"

Akademický článek

Network-Based Differences in the Vaginal and Bladder Microbial Communities Between Women With and Without Urgency Urinary Incontinence

Autor: Rahel Nardos, Eric T. Leung, Erin M. Dahl, Sean Davin, Mark Asquith, W. Thomas Gregory, Lisa Karstens

Publikováno v: Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)

BackgroundLittle is known about the relationship of proximal urogenital microbiomes in the bladder and the vagina and how this contributes to bladder health. In this study, we use a microbial ecology and network framework to understand the dynamics o

Externí odkaz: https://doaj.org/article/69635a75dfe94858bcf206b1673cb381

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microshades : An R Package for Improving Color Accessibility and Organization of Microbiome Data

Autor: Erin M. Dahl, Emory Neer, Kate R. Bowie, Eric T. Leung, Lisa Karstens

Publikováno v: Microbiology Resource Announcements. 11

When creating figures, it is important to consider that individuals with color vision deficiency (CVD) may not perceive all colors. While there are several CVD-friendly color palettes, they are often insufficient for working with microbiome data. Her

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0628f0d8d966d085f8ade9b52c5eb7a
https://doi.org/10.1128/mra.00795-22

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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning

Autor: Anne D. Lewis, Jessica McKelvey, Eric T. Leung, Adam Graham, Kamm Prongay, Michael J. Raboin, Amanda Vinson, Aaron Cohen

Publikováno v: Amyloid

Objective: Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques fro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a5832d80839f9cb35d9665a0a467ecb
https://doi.org/10.1080/13506129.2019.1625038

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ShinyDiversity - Understanding Alpha and Beta Diversity through Interactive Visualizations

Autor: Reva Shenwai, Eric T. Leung, Roshan Noronha, Ali Mirza, Asterios Mpatziakas

Publikováno v: F1000Research. 7:479

In the past few decades, ecologists have developed many diversity indices to describe within and between sample diversity. Consequently, it can be difficult to determine which index to choose and how the distribution of microbial communities affect t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbd9a3bd34e8a185c5506bbf195044cb
https://doi.org/10.12688/f1000research.14217.1

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