Oscillabolastic model, a new model for oscillatory dynamics, applied to the analysis of Hes1 gene expression and Ehrlich ascites tumor growth

M. A. Tabatabai, W. M. Eby, Zoran Bursac

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper introduces a new dynamical model, called the oscillabolastic model, to analyze the dynamical behavior of biomedical data when one observes oscillatory behavior. The proposed oscillabolastic model is sufficiently flexible to represent various types of oscillatory behavior. The oscillabolastic model is applied to two sets of data. The first data set deals with the oscillabolastic modeling of Ehrlich ascites tumor cells and the second one is the oscillabolastic modeling of the mean signal intensity of Hes1 gene expression in response to serum stimulation. A generalized oscillabolastic model is also suggested to accommodate cases in which predictor variables other than time are also involved.

Original languageEnglish (US)
Pages (from-to)401-407
Number of pages7
JournalJournal of Biomedical Informatics
Volume45
Issue number3
DOIs
StatePublished - Jun 1 2012
Externally publishedYes

Fingerprint

Ehrlich Tumor Carcinoma
Gene expression
Tumors
Gene Expression
Growth
Serum
Cells
Datasets

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

Cite this

Oscillabolastic model, a new model for oscillatory dynamics, applied to the analysis of Hes1 gene expression and Ehrlich ascites tumor growth. / Tabatabai, M. A.; Eby, W. M.; Bursac, Zoran.

In: Journal of Biomedical Informatics, Vol. 45, No. 3, 01.06.2012, p. 401-407.

Research output: Contribution to journalArticle

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