Identification of phenotypic state transition probabilities in living cells

Proceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009

Volumn , Issue PART A, 2010, Pages 81-88

  Farahat, Waleed A ^a   Asada, H Harry ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; BAYESIAN NETWORKS; CELL CULTURE; CELL PROLIFERATION; CELLS; COMPUTATIONAL EFFICIENCY; MONTE CARLO METHODS; POPULATION STATISTICS; PROBABILITY;

BAYESIAN ESTIMATIONS; BIOLOGICAL OBSERVATIONS; ENVIRONMENTAL CUES; HIGH DIMENSIONAL SPACES; MONTE CARLO TECHNIQUES; MULTINOMIAL DISTRIBUTIONS; STATE TRANSITION PROBABILITIES; TRANSITION PROBABILITIES;

CYTOLOGY;

EID: 77953736604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DSCC2009-2705     Document Type: Conference Paper

References (12)

1. Ramanathan, S., and Broach, J. R., 2007. "Do cells think?". Cell. Mol. Life Sci., 64, p. 18011804.
2. Acar, M., Mettetal, J. T., and van Oudenaarden, A., 2008. "Stochastic switching as a survival strategy in fluctuating environments". Nature Genetics. 40(4), pp. 471-475. (Pubitemid 351450880)
3. Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., and Leibler, S., 2004. "Bacterial Persistence as a Phenotypic Switch". Science, 305(5690), pp. 1622-1625.
4. Soll, D. R., 1992. "High-frequency switching in Candida albicans". Clin. Microbiol. Rev., 5(2), pp. 183-203.
5. Arkowitz, R. A., 1999. "Responding to attraction: chemotaxis and chemotropism in dictyostelium and yeast". Trends in Cell Biology, 9(1), pp. 20-27.
6. Hautaniemi, S., Kharait, S., Iwabu, A., Wells, A., and Lauffenburger, D. A., 2005. "Modeling of signal-response cascades using decision tree analysis". Bioinformatics, 21(9), p. 20272035.
7. Wood, L., Das, A., Kamm, R., and Asada, H., 2008. "A stochastic control framework for regulating collective behaviors of an angiogenesis cell population". In Proceedings of IEEE Biomedical Robotics and Biomechatronics Conference, pp. 390-396.
8. Herzenberg, L. A., Tung, J., Moore, W. A., Herzenberg, L. A., and Parks, D. R., 2006. "Interpreting flow cytometry data: a guide for the perplexed". Nature Immunology, 7(7), pp. 681-685.
9. Hawkins, D. L., and Han, C.-P., 2000. "Estimating transit ion probabilities from aggregate samples plus partial transition data". Biometrics, 56, Sept., pp. 848-854.
10. MacKay, D. J., 2003. Information Theory, Inference and Learning Algorithms. Cambridge University Press.
11. Bishop, C. M., 2006. Pattern Recognition and Machine Learning. Springer.
12. Andrieu, C., de Freitas, N., Doucet, A., and Jordan, M. I., 2003. "An introduction to mcmc for machine learning". Machine Learning, 50, pp. 5-43.