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.
|Title of host publication||Biological Knowledge Discover Handbook|
|Subtitle of host publication||Preprocessing, Mining, and Postprocessing of Biological Data|
|Editors||Mourad Elloumi, Albert Y Somaya|
|Place of Publication||Hoboken NJ USA|
|Publisher||John Wiley & Sons|
|Number of pages||17|
|Publication status||Published - 2014|