Visualization of biological knowledge based on multimodal biological data

Hendrik Rohn, Falk Schreiber

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationBiological Knowledge Discover Handbook
Subtitle of host publicationPreprocessing, Mining, and Postprocessing of Biological Data
EditorsMourad Elloumi, Albert Y Somaya
Place of PublicationHoboken NJ USA
PublisherJohn Wiley & Sons
Chapter48
Pages1109-1125
Number of pages17
ISBN (Print)9781118132739
DOIs
Publication statusPublished - 2014
Externally publishedYes

Cite this

Rohn, H., & Schreiber, F. (2014). Visualization of biological knowledge based on multimodal biological data. In M. Elloumi, & A. Y. Somaya (Eds.), Biological Knowledge Discover Handbook: Preprocessing, Mining, and Postprocessing of Biological Data (pp. 1109-1125). John Wiley & Sons. https://doi.org/10.1002/9781118617151.ch48