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Multivariate Data Analysis of Proteome Data
2006We present the background for multivariate data analysis on proteomics data with a hands-on section on how to transfer data between different software packages. The techniques can also be used for other biological and biochemical problems in which structures have to be found in a large amount of data. Digitalization of the 2D gels, analysis using image
Kåre, Engkilde +2 more
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Variational Data Analysis Versus Classical Data Analysis
1995In (1) and (2) we have proposed a new theory of classification called the S theory. This theory contains the family of the Scaldiscal classification criteria which can handle both quantitative and categorical data as a generalization of the new Condorcet classification criterion which can only handle categorical data.
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2015
The quality and transferability (generalizability) of the results depends on the analytical skills of the researcher. This is one of the greatest strength of qualitative research, but also a major weakness. Therefore, it is crucial that the process of how the raw data is analysed is clearly documented (Eisenhardt and Graebner, 2007).
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The quality and transferability (generalizability) of the results depends on the analytical skills of the researcher. This is one of the greatest strength of qualitative research, but also a major weakness. Therefore, it is crucial that the process of how the raw data is analysed is clearly documented (Eisenhardt and Graebner, 2007).
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly