Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures

Title: Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures
Creator: Warren, Chloe; Inostroza-Ponta, Mario; Moscato, Pablo
Relation: Bioinformatics, Volume 2: Structure, Function, and Applications p. 271-297
Relation: Methods in Molecular Biology 1526
Publisher Link: http://dx.doi.org/10.1007/978-1-4939-6613-4_16
Publisher: Springer
Resource Type: book chapter
Date: 2017
Description: In this chapter, we illustrate the use of an integrated mathematical method for joint clustering and visualization of large-scale datasets. In applying these clustering methodologies to biological datasets, we aim to identify differentially expressed genes according to cell type by building molecular signatures supported by statistical scores. In doing so, we also aim to find a global map of highly co-expressed clusters. Variations in these clusters may well indicate other pathological trends and changes.
Description: 2nd ed.
Subject: clustering; visualization; neuroscience; genetics
Identifier: http://hdl.handle.net/1959.13/1391132
Identifier: uon:33167
Identifier: ISBN:9781493966134
Language: eng

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