Measuring the Accuracy of Diagnostic Systems
Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise." For them, analysis in terms of the "relative operat...
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Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise." For them, analysis in terms of the "relative operat...
To provide an update to the "Surviving Sepsis Campaign Guidelines for Management of Severe Sepsis and Septic Shock," last published in 2008. A consensus committee of 68 internat...
Summary The use of both linear and generalized linear mixed‐effects models ( LMM s and GLMM s) has become popular not only in social and medical sciences, but also in biological...
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Josep Taron Roca
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can ...
We have developed a new set of algorithms, collectively called “Velvet,” to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representat...