TY  - BOOK
AB  - Identification, analysis and visualization of functional molecular networks are key objectives in systems biology and the logical extension of existing molecular profiling techniques. Here we used TIS (toponome imaging system) imaging to visualize co-location of proteins in tissue samples, thereby integrating two distinct information domains, morphology and molecular interaction. Using a library of 13 selected dye-conjugated antibodies, TIS recorded a stack of 13 fluorescence images, each showing the same visual field, with high fluorescence values indicating the presence of the corresponding bio-molecule or protein. We show first results obtained using machine learning approaches that allow the identification and spatial analysis of co-location patterns without manual thresholding. The authors believe that TIS imaging in combination with advanced visual data mining methods can contribute substantially to addressing several outstanding issues in systems biology where molecular co-location is involved.
DA  - 2011
KW  - Information Visualization
KW  - Bioimage informatics
KW  - Protein networks
KW  - Systems biology
KW  - Biomedical Informatics
KW  - Colon Cancer
KW  - Cancer
KW  - Visual Data Mining
KW  - Visual Diagnostics
LA  - eng
PY  - 2011
TI  - Towards Protein Network Analysis using TIS Imaging and Exploratory Data Analysis
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-23002371
Y2  - 2024-11-21T23:07:54
ER  -