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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Supervised Methods for Biomarker Detection from Microarray Experiments,ld computational predictive models for disease prognosis, drug sensitivity and toxicity evaluations. Activation biomarkers can be used to understand the underlying signaling cascades, mechanisms of action and biological cross talk. Biomarker detection from microarray data requires several considerat

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LIKEN

Network Analysis of Microarray Data,ntially expressed genes, it is well known that genes do not act individually. Network analysis can be applied to study association patterns of the genes in a biological system. Moreover, it finds wide application in differential coexpression analysis between different systems. Network based coexpres

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,Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19–Related Studies,owledge to fuel discovery on this novel disease. Studies that can precisely characterize the gene expression profiles of human hosts infected by SARS-CoV-2 are of significant relevance. However, not many such experiments have yet been produced to date, nor made publicly available online. Thus, it is

不透明性

Alignment of Microarray Data,nown DNA sequences often does not reveal the function of a new gene; thus, more sophisticated techniques are in order. Nowadays, data mining techniques, and in particular the clustering process, play an important role in bioinformatics. To analyze vast amounts of data can be difficult; thus, a way t

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