File:Improved-Statistical-Analysis-of-Low-Abundance-Phenomena-in-Bimodal-Bacterial-Populations-pone.0078288.s016.ogv

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English: Accuracy of subpopulation determination as quantified by the methods Boxplot1.5 or Boxplot3 from different simulated bimodal populations. This file contains a movie showing the results of Boxplot1.5 and Boxplot3 methods of subpopulation detection tested on simulated bimodal populations with varying subpopulation proportions, standard deviations and set mean difference of 137 (see Methods). Method accuracy is shown as the percentage between estimated and true subpopulation size (z-axis), and as a function of subpopulation standard deviation (x-axis) and subpopulation proportion (y-axis). The 40 different movie image frames show results for different simulated subpopulation mean values. A value of zero indicates that estimated subpopulation size equals true subpopulation size. Negative or positive values indicate under- or over-estimation of subpopulation size in comparison to true subpopulation size, respectively. Instances where the method fails to detect any subpopulation size are indicated as solidly coloured squares at the top surface of the co-ordinate system (also see NA annotations in Figure 7, 9).
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Source Video S1 from Reinhard F, van der Meer J (2013). "Improved Statistical Analysis of Low Abundance Phenomena in Bimodal Bacterial Populations". PLOS ONE. DOI:10.1371/journal.pone.0078288. PMID 24205184. PMC: 3813492.
Author Reinhard F, van der Meer J
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Date/TimeThumbnailDimensionsUserComment
current04:39, 15 October 201620 s, 960 × 480 (691 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 480P 160 kbps Completed 14:20, 29 August 2018 4.0 s
VP9 360P 86 kbps Completed 14:20, 29 August 2018 3.0 s
VP9 240P 45 kbps Completed 14:20, 29 August 2018 3.0 s
WebM 360P 252 kbps Completed 04:40, 15 October 2016 3.0 s
QuickTime 144p (MJPEG) 125 kbps Completed 12:03, 11 October 2024 1.0 s

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