Abstract
Presentation of multiple interactions is of vital importance in the new field of cytomics. Quantitative analysis of multi- and polychromatic stained cells in tissue will serve as a basis for medical diagnosis and prediction of disease in forthcoming years. A major problem asso- ciated with huge interdependent data sets is visualization. Therefore, alternative and easy-to-handle strategies for data visualization as well as data meta-evaluation (popula- tion analysis, cross-correlation, co-expression analysis) were developed.
Citation
Marc
Streit,
Rupert C. Ecker,
Katja Österreicher,
Georg E. Steiner,
Horst Bischof,
Christine Bangert,
Tamara Kopp,
Radu Rogojanu
3D Parallel Coordinate Systems - A New Data Visualization Method in the Context of Microscopy-Based Multicolor Tissue Cytometry
Journal of Cytometry Part A,
69A(7):
601--611, doi:10.1002/cyto.a.20288, 2006.
BibTeX
@article{2006_cytometry_3d-parcoords, title = {3D Parallel Coordinate Systems - A New Data Visualization Method in the Context of Microscopy-Based Multicolor Tissue Cytometry}, author = {Marc Streit and Rupert C. Ecker and Katja Österreicher and Georg E. Steiner and Horst Bischof and Christine Bangert and Tamara Kopp and Radu Rogojanu}, journal = {Journal of Cytometry Part A}, doi = {10.1002/cyto.a.20288}, volume = {69A}, number = {7}, pages = {601--611}, year = {2006} }