Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques Conference Paper
| Authors: | Lespinats, S.; Pinker-Domenig, K.; Meyer-Bäse, U.; Meyer-Bäse, A. |
| Title: | Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques |
| Conference Title: | Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII |
| Abstract: | Chromosome 19 is known to be linked to neurodegeneration and many cancers. Glioma-derived cancer stem cells (GSCs) are tumor-initiating cells and may be refractory to radiation and chemotherapy and thus have important implications for tumor biology and therapeutics. The analysis and interpretation of large proteomic data sets requires the development of new data mining and visualization approaches. Traditional techniques are insufficient to interpret and visualize these resulting experimental data. The emphasis of this paper lies in the presentation of novel approaches for the visualization, clustering and projection representation to unveil hidden data structures relevant for the accurate interpretation of biological experiments. These qualitative and quantitative methods are applied to the proteomic analysis of data sets derived from the GSCs. The achieved clustering and visualization results provide a more detailed insight into the expression patterns for chromosome 19 proteins. © 2015 COPYRIGHT SPIE. |
| Keywords: | chemotherapy; proteins; cytology; proteomics; cell culture; tumors; stem cells; molecular biology; visualization; biological systems; exploratory analysis; diseases; chromosomes; cells; reduction; data visualization; cancer stem cells; data reduction; data mining; compressed sensing; biological experiments; flow visualization; nonlinear dimensional data reduction; glioma-derived cancer stem cells; antenna lobes; quantitative method; reduction techniques; traditional techniques; visualization results |
| Journal Title | Proceedings of SPIE |
| Volume: | 9496 |
| Conference Dates: | 2015 Apr 23-25 |
| Conference Location: | Baltimore, MD |
| ISBN: | 0277-786X |
| Publisher: | SPIE |
| Date Published: | 2015-05-20 |
| Start Page: | 949607 |
| Language: | English |
| DOI: | 10.1117/12.2181814 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Proc SPIE Int Soc Opt Eng -- Conference code: 113181 -- Export Date: 3 February 2016 -- Conference Paper -- CODEN: PSISD -- The Society of Photo-Optical Instrumentation Engineers (SPIE) -- 23 April 2015 through 24 April 2015 -- Source: Scopus |
