Heterogeneity of colorectal cancer cell positions as a cell viability biometrie

3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

Volumn , Issue , 2016, Pages 21-24

  Saribudak, Aydin ^a   Kucharavy, Herman ^b   Hubbard, Karen ^b   Uyar, M Umit ^a  

^a City College of New York   (United States)

^b CITY COLLEGE OF NEW YORK   (United States)

Author keywords

cell viability; colorectal cancer cell lines; FOLFOX treatment; in vitro cell cultures; poisson point process; spatial heterogeneity; Spatial pattern analysis

Indexed keywords

BIOMARKERS; CELL CULTURE; CYTOLOGY; DATA ACQUISITION; DISEASES; INFORMATION SCIENCE; INTELLIGENT NETWORKS;

CELL VIABILITY; COLORECTAL CANCER CELL; FOLFOX TREATMENT; IN-VITRO; POISSON POINT PROCESS; SPATIAL HETEROGENEITY; SPATIAL PATTERN ANALYSIS;

CELLS;

EID: 84968648387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BHI.2016.7455825     Document Type: Conference Paper

References (19)

1. Elisa Michelini, Luca Cevenini, Laura Mezzanotte, Andrea Coppa, and Aldo Roda. Cell-based assays: fuelling drug discovery. Analytical and bioanalytical chemistry, 398 (1): 227-238, 2010.
2. Rasheena Edmondson, Jessica Jenkins Broglie, Audrey F Adcock, and Liju Yang. Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors. Assay and drug development technologies, 12 (4): 207-218, 2014.
3. Leoni A Kunz-Schughart, James P Freyer, Ferdinand Hofstaedter, and Reinhard Ebner. The use of 3-d cultures for high-throughput screening: the multicellular spheroid model. Journal of biomolecular screening, 9 (4): 273-285, 2004.
4. Anthony C Gatrell, Trevor C Bailey, Peter J Diggle, and Barry S Rowlingson. Spatial point pattern analysis and its application in geographical epidemiology. Transactions of the Institute of British geographers, pages 256-274, 1996.
5. P. Haase. Can isotropy vs. anisotropy in the spatial association of plant species reveal physical vs. biotic facilitation? Jour. of Vegetation Science, 12 (1): 127-136, 2001.
6. AJ Baddeley and BW Silverman. A cautionary example on the use of second-order methods for analyzing point patterns. Biometrics, pages 1089-1093, 1984.
7. Aydin Saribudak, Emir Ganic, Jianmin Zou, Stephen Gundry, and M. Umit Uyar. Toward genomic based personalized mathematical models for breast cancer tumor growth. In IEEE 14th Int'l. Conf. on BioInformatics and BioEngineering (BIBE), pages 115-119, Nov. 2014.
8. Aydin Saribudak, Stephen Gundry, Jianmin Zou, and M. Umit Uyar. Genomic based personalized chemotherapy analysis to support decision systems for breast cancer. In Medical Measurements and Applications (MeMeA), 2015 IEEE Intl. Symp. on, pages 495-500. IEEE, 2015.
9. A. Saribudak, Y. Dong, J. Hsieh, and M. U. Uyar. Modeling tumor growth for kidney cancer based on nuclei clusters of pathology slides. International Journal of Engineering and Technology, 8 (5), 2016.
10. Philip M Dixon. Ripley's k function. Encyclopedia of environmetrics, 2002.
11. US Srinivas, J Dyczkowski, T Beißbarth, J Gaedcke, WY Mansour, K Borgmann, and M Dobbelstein. 5-fluorouracil sensitizes colorectal tumor cells towards double stranded DNAbreaks by interfering with homologous recombination repair. Oncotarget, 2015.
12. Florian T Unger. Discovery of protein biomarker predictive for the response to FOLFOX therapy in colorectal cancer. PhD thesis, Hamburg University, 2012.
13. J. Kusyk, C. S. Sahin, M. U. Uyar, E. Urrea, and S. Gundry. Self organization of nodes in mobile ad hoc networks using evolutionary games and genetic algorithms. J. of Advanced Research, 2 (3): 253-264, 2011.
14. C. S. Sahin, M. U. Uyar, S. Gundry, and E. Urrea. Self organization for area coverage maximization and energy conservation in mobile ad hoc networks. In Transactions on Computational Science XV, pages 49-73. Springer, 2012.
15. P Grabarnik and SN Chiu. Goodness-of-fit test for complete spatial randomness against mixtures of regular and clustered spatial point processes. Biometrika, 89 (2): 411-421, 2002.
16. P. J. Diggle. On parameter estimation and goodness-of-fit testing for spatial point patterns. Biometrics, pages 87-101, 1979.
17. G. L. W. Perry, B. P. Miller, and N. J Enright. A comparison of methods for the statistical analysis of spatial point patterns in plant ecology. Plant ecology, 187 (1): 59-82, 2006.
18. D. U. Pfeiffer. Issues related to handling of spatial data. Massey University, Palmerston North, pages 309-329, 1996.
19. Brian D Ripley. The second-order analysis of stationary point processes. Journal of applied probability, pages 255-266, 1976.