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STAT analysis

См. также в других словарях:

  • STAT — Immediately (Medical » Physiology) ** Signal Transducer And Activator Of Transcription (Medical » Physiology) * United States Statutes at Large (Governmental » US Government) * I Stat Corporation (Business » NASDAQ Symbols) * Students Today… …   Abbreviations dictionary

  • Statistical coupling analysis — or SCA is a technique used in bioinformatics to measure covariation between pairs of amino acids in a protein multiple sequence alignment (MSA). More specifically, it quantifies how much the amino acid distribution at some position i changes upon …   Wikipedia

  • Significance analysis of microarrays — (SAM) is a statistical technique, established in 2001 by Tusher, Tibshirani and Chu, for determining whether changes in gene expression are statistically significant. With the advent of DNA microarrays it is now possible to measure the expression …   Wikipedia

  • Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …   Wikipedia

  • Exploratory data analysis — (EDA) is an approach to analyzing data for the purpose of formulating hypotheses worth testing, complementing the tools of conventional statistics for testing hypotheses And roughly the only mechanism for suggesting questions is exploratory. And… …   Wikipedia

  • Sensitivity analysis — (SA) is the study of how the variation (uncertainty) in the output of a mathematical model can be apportioned, qualitatively or quantitatively, to different sources of variation in the input of a model Saltelli, A., Ratto, M., Andres, T.,… …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …   Wikipedia

  • Microarray analysis techniques — Example of an approximately 40,000 probe spotted oligo microarray with enlarged inset to show detail. Microarray analysis techniques are used in interpreting the data generated from experiments on DNA, RNA, and protein microarrays, which allow… …   Wikipedia

  • Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …   Wikipedia

  • Social network analysis software — is used to identify, represent, analyze, visualize or simulate nodes (e.g. agents, organizations, or knowledge) and edges (relationships) from various types of input data (relational and non relational), including mathematical models of social… …   Wikipedia

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