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Mian: Interactive Web-Based 16S rRNA Operational Taxonomic Unit Table Data Visualization and Discovery Platform
[article]
2018
bioRxiv
pre-print
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Here we introduce Mian, an open-source web framework to interactively visualize or run a suite of statistical and feature selection tools on the microbiome to identify important taxonomic groups in the ...
Mian supports multiple standard representations of the OTU table as input and optionally subsamples the data during the upload process. ...
Here we introduce Mian, an interactive web-based data discovery platform that empowers users to examine the microbial community in the context of categorical and numerical metadata. ...
doi:10.1101/416073
fatcat:li6xbimgrvazlcszt5wwkumjay
Eighth Annual Conference of inVIVO Planetary Health on Transforming Life: Unify Personal, Public, and Planetary Health
2018
Challenges
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and behaviors. ...
the interdependent vitality of all natural and anthropogenic ecosystems—social, political and otherwise. ...
Hence, the utilization of automated image processing and machine learning (artificial intelligence)-based analytic tools enable large-scale retrospective analyses of fetal organ size and structures from ...
doi:10.3390/challe9020036
fatcat:2svywzpiznewbhiopqdodo3o3i
Volume 19 : 2021 Issue 2
2021
PLANNING MALAYSIA JOURNAL
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The views expressed in this publication are those of the author(s) and do not necessarily represent the views of MIP. This journal is a refereed journal. ...
GPS tracking devices considered as another method in the data collection process to determine tourists' spatial behaviour and tourist movement pattern. ...
ACKNOWLEDGEMENT The researchers would like to express their gratitude to the National Property Information Centre (NAPIC) for providing the property heritage data in Penang Island, and also the Malaysian ...
doi:10.21837/pm.v19i16.946
fatcat:ca75sw4n5ncdtpi54djoqdf4ty
a need to know
1983
Physician and sportsmedicine
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What Can Statistics Learn from Machine
Learning? ...
Floor Discussion
350
CC-W176c
n l Machine Learning for Dependent Data-
Topic-Contributed
10:55 a.m. Machine Learning Methods in High-Dimensional
Branching Processes-FAnand N. ...
Help SOI celebrate its centennial by visiting www.irs.gov/taxstats, learning more about the U.S. tax system, and supporting SOI's work as it prepares for the next 100 years. 192 Allen, Genevera 88, 93 ...
doi:10.1080/00913847.1983.11708423
pmid:27409254
fatcat:7rlbreoerngb3epmighz7l5vr4
Northeastern Section of the AUA, 72nd Annual Meeting Abstracts (September 2020)
2020
Canadian Urological Association Journal
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AUC-ROC curve for detecting prostate cancer lesions using local fractal dimension and wavelet decomposition signatures from T2WI. ...
Using the WISQOL score as the gold standard of the model, we built the WISQOL Machine Learning Algorithm (WISQOL-MLA) to predict patients' QOL based on demographic, symptomatic, and clinical data collected ...
Machine learning (ML) provides a potential path to improve upon the detection of PCa lesions from mpMRI imaging. ...
doi:10.5489/cuaj.6919
fatcat:tbrhk4ii4beltjdoc6ym33wj7m
2021 Midwest Clinical and Translational Research Meeting of CSCTR and MWAFMR
2021
Journal of Investigative Medicine
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axial view, showing a large anterior mediastinal mass Abstracts 1070 Abstract 2 Figure 1 Amyloidosis Prediction Score ROC-Validation Cohort Abstract 20 Figure 1 Tc-99m pyrophosphate scintigraphy Positive and ...
Objective(s) To develop a web-based visualization application named Alveolus Analysis to process, analyze and graphically display intravital lung microscopy data. ...
Abstract 84 Conclusion Application of a web-based visualization application, Alveolus Analysis, to intravital lung microscopy data has the potential to enhance the information gained from these experiments ...
doi:10.1136/jim-2021-mw
fatcat:rxy4aexgkrdzljsxfm77lrgvry
Oral presentations
2010
Clinical Microbiology and Infection
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Conventional agarose gel-based PCR ribotyping is easy to use and relatively cheap, but analysis of fragment lengths is hampered by poor resolution. ...
As new options become available, prognostic data will be needed to guide on the most approriate therapeutic choices. ...
machine. ...
doi:10.1111/j.1469-0691.2010.03238.x
pmid:20412063
pmcid:PMC7130035
fatcat:o6vuxo77pvbdhijpoxf72yrio4
2021 Research Day website content and abstracts
[article]
2021
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Conclusion Using logistic regression and KNN machine learning algorithms with 4 input parameters, provided 96% accuracy to predict curve progression. ...
Results Based on the balanced dataset, logistic regression and KNN methods performed the same and better than others. ...
Lastly, approaches to SRHR education and services for immigrant adolescents should include cultural sensitivity, an intersectional approach, interactive learning, a strength-based approach, and reassuring ...
doi:10.7939/r3-20jm-yz10
fatcat:t2tvz4swqjgn3oornqkcdfmuly