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access icon openaccess Identifying latent dynamic components in biological systems

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References

    1. 1)
    2. 2)
    3. 3)
      • 3. Emmert-Streib, F., Dehmer, M., Haibe-Kains, B.: ‘Untangling statistical and biological models to understand network inference: the need for a genomics network ontology’, Front. Genet., 2014, 5, 299 doi: 10.3389/fgene.2014.00299.
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 12. Hoyer, P.O., Shimizu, S., Kerminen, A.J.: ‘Estimation of linear, non-Gaussian causal models in the presence of confounding latent variables’, arXiv preprint cs/0603038, 2006.
    13. 13)
      • 13. Monecke, A., Leisch, F.: ‘semPLS: structural equation modeling using partial least squares’, J. Stat. Softw., 2012, 48, (3), pp. 132.
    14. 14)
      • 14. Bollen, K.A.: ‘Structural equation models’ (Wiley Online Library, 1998).
    15. 15)
    16. 16)
      • 16. Blöchl, F., Theis, F.J.: ‘Estimating hidden influences in metabolic and gene regulatory networks’, in Adali, T., Jutten, C., Marcos, J., Romano, T., Baros, A.K. (Eds.): ‘Independent component analysis and signal separation’ (Springer, 2009), pp. 387394.
    17. 17)
    18. 18)
      • 18. De Boor, C.: ‘A practical guide to splines’ (Springer Verlag, 2001), vol. 27.
    19. 19)
    20. 20)
      • 20. Ramsay, J.O., Silverman, B.W.: ‘Functional data analysis’ (Springer, New York, 2005).
    21. 21)
    22. 22)
    23. 23)
      • 23. Ross, S.: ‘Differential equations’ (JohnWiley & Sons, New York, 1984), vol. 3.
    24. 24)
      • 24. Cramér, H.: ‘Mathematical methods of statistics’ (Princeton University Press, 1945), vol. 9.
    25. 25)
      • 25. Rao, C.R.: ‘Information and accuracy attainable in the estimation of statistical parameters’, Bull. Calcutta Math. Soc., 1945, 37, (3), pp. 8191.
    26. 26)
      • 26. Butcher, J.C.: ‘The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods’ (Wiley-Interscience, 1987).
    27. 27)
      • 27. Zacks, S.: ‘The theory of statistical inference’ (Wiley, New York, 1971), vol. 34.
    28. 28)
    29. 29)
    30. 30)
      • 30. Hastie, T., Tibshirani, R., Friedman, J., Hastie, T., Friedman, J., Tibshirani, R.: ‘The elements of statistical learning’ (Springer, 2009), vol. 2.1.
    31. 31)
      • 31. R Development Core Team: ‘R: a language and environment for statistical computing’ (R Foundation for Statistical Computing, Vienna, Austria, 2011).
    32. 32)
    33. 33)
    34. 34)
    35. 35)
    36. 36)
    37. 37)
    38. 38)
      • 38. Nikolov, S., Georgiev, G., Kotev, V., Wolkenhauer, O.: ‘Stability analysis of a time delay model for the JAK-STAT signalling pathway’, Series Biomech., 2007, 23, (1), pp. 5265.
    39. 39)
      • 39. Fall, C.: ‘Computational cell biology’ (Springer Verlag, 2002), vol. 20.
    40. 40)
      • 40. Tibshirani, R.: ‘Regression shrinkage and selection via the lasso’, J. R. Stat. Soc. B, Methodol., 1996, 58, (1), pp. 267288.
    41. 41)
    42. 42)
    43. 43)
    44. 44)
    45. 45)
    46. 46)
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