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Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML , CSS and (optionally) JavaScript -based design templates for typography , forms , buttons , navigation , and other interface components.
The Apache License version 2.0 [3] is a similarly permissive license that includes an explicit contributor's patent license. Of specific relevance to US jurisdictions, the MIT license uses the terms "sell" and "use" that are also used in defining the rights of a patent holder in Title 35 of the United States Code section 154.
Screenshot from 2007 of Horde, a groupware and open-source web application. A web application (or web app) is application software that is created with web technologies and runs via a web browser.
The frequency at which a given clade is observed in the bootstrap sample of trees quantifies the reproducibility of that node in the original tree. Non-parametric bootstrapping is a time-consuming process that scales linearly with the number of replicates, since every bootstrap sample is processed by the same method as the original tree, and ...
To mathematically describe this relationship, LOESS smoothers (with bandwidth 0.5) are used. Rather than building a single smoother for the complete dataset, 100 bootstrap samples were drawn. Each sample is composed of a random subset of the original data and maintains a semblance of the master set's distribution and variability.
This means that samples taken from the bootstrap distribution will have a variance which is, on average, equal to the variance of the total population. Histograms of the bootstrap distribution and the smooth bootstrap distribution appear below. The bootstrap distribution of the sample-median has only a small number of values.
Compatible with all major desktop browsers as well as all major mobile platforms, including Android, iOS, Windows Phone, Blackberry, WebOS, Symbian.; Built on top of jQuery core so it has a minimal learning curve for people already familiar with jQuery syntax.
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.