Visualization of Biological Knowledge Based on Multimodal Biological Data
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This chapter deals with how to discover biological knowledge from multimodal biological data using visualization. First, it describes multimodal biological data and how to structure a data model. Next, it provides an overview of other approaches for knowledge discovery from multimodal biological data. The chapter explains how the data are integrated, mapped, and visualized based on a visualization pipeline concept. It presents a number of implemented integration views which enable the extraction of knowledge from multimodal biological data. Although there are a large number of advanced approaches able to handle and visualize single measurement types, for most combinations of data types there are only few, if any at all, available that accomplish this task. Based on the reference model of a visualization pipeline the chapter explains how the multimodal biological data can be transformed into views from multiple directions onto combined data of different data domains.
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ROHN, Hendrik, Falk SCHREIBER, 2013. Visualization of Biological Knowledge Based on Multimodal Biological Data. In: ELLOUMI, Mourad, ed., Albert Y. ZOMAYA, ed.. Biological Knowledge Discovery Handbook. Hoboken, NJ: Wiley, 2013, pp. 1109-1126. Wiley series on bioinformatics. 23. ISBN 978-1-118-13273-9. Available under: doi: 10.1002/9781118617151.ch48BibTex
@incollection{Rohn2013-12-27Visua-38521, year={2013}, doi={10.1002/9781118617151.ch48}, title={Visualization of Biological Knowledge Based on Multimodal Biological Data}, number={23}, isbn={978-1-118-13273-9}, publisher={Wiley}, address={Hoboken, NJ}, series={Wiley series on bioinformatics}, booktitle={Biological Knowledge Discovery Handbook}, pages={1109--1126}, editor={Elloumi, Mourad and Zomaya, Albert Y.}, author={Rohn, Hendrik and Schreiber, Falk} }
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