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Titlebook: Microarray Data Analysis; Giuseppe Agapito Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer

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Microarray Data Analysis Protocol,of data for a single experiment. Different kinds of microarrays are available, identifiable by characteristics such as the type of probes, the surface used as support, and the method used for the target detection. To better deal with microarray datasets, the development of microarray data analysis p
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Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma,ing studies, commonly carried out through next-generation sequencing (NGS) and Microarrays technologies, represent powerful tools for discovering prognostic markers in MM. NGS technologies have made great leaps forward both economically and technically gaining in popularity. As NGS techniques become
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geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO),e gene symbols to probesets. In this short chapter, we describe the assets of our software package, and we report an example of its usage. We believe that geneExpressionFromGEO can be very useful for the R community of bioinformaticians working on gene expression data.
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Francesca Scionti,Maria Teresa Di Martino,Daniele Caracciolo,Licia Pensabene,Pierosandro Tagliaferril standpoint’. Nagel evokes a Neoplatonic image of the soul ascending through celestial spheres toward the Absolute — toward a god’s-eye view from nowhere. ‘We may think of reality as a set of concentric spheres, progressively revealed as we detach gradually from the contingencies of the self.’ ‘Wha
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