Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
The recent development of methods for extracting precise measurements of
spatial gene expression patterns from three-dimensional (3D) image data opens
the way for new analyses of the complex gene regulatory networks controlling
animal development. We present an integrated visualization and analysis
framework that supports user-guided data clustering to aid exploration of
these new complex datasets. The interplay of data visualization and
clustering-based data classification leads to improved visualization and
enables a more detailed analysis than previously possible. We discuss (i)
integration of data clustering and visualization into one framework; (ii)
application of data clustering to 3D gene expression data; (iii) evaluation of
the number of clusters k in the context of 3D gene expression clustering; and
(iv) improvement of overall analysis quality via dedicated post-processing of
clustering results based on visualization. We discuss the use of this
framework to objectively define spatial pattern boundaries and temporal
profiles of genes and to analyze how mRNA patterns are controlled by their
regulatory transcription factors.
Download: pdf
Text Reference
Oliver Rübel, Gunther H. Weber, Min-Yu Huang, E. Wes Bethel, Mark Biggin, Charless C. Fowlkes, Cris L. Luengo Hendriks, Soile V. E. Keränen, Michael Eisen, David W. Knowles, Jitendra Malik, Hans Hagen, and Bernd Hamann. Integrating data clustering and visualization for the analysis of 3d gene expression data. IEEE Transactions on Computational Biology and Bioinformatics, 7(1):64–79, 2010.BibTeX Reference
@article{Rubel_TCBB_2010,author = {R{\"u}bel, Oliver and Weber, Gunther H. and Huang, Min-Yu and Bethel, E. Wes and Biggin, Mark and Fowlkes, Charless C. and Hendriks, Cris L. Luengo and Ker{\"a}nen, Soile V. E. and Eisen, Michael and Knowles, David W. and Malik, Jitendra and Hagen, Hans and Hamann, Bernd},
title = "Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data",
journal = "IEEE Transactions on Computational Biology and Bioinformatics",
year = "2010",
volume = "7(1)",
pages = "64-79",
tag = "biological_images"
}