TY - JOUR
AU1 - Buchwald, Peter
AU2 - Sveiczer, Akos
AB - Background: There is considerable controversy concerning the exact growth profile of size parameters during the cell cycle. Linear, exponential and bilinear models are commonly considered, and the same model may not apply for all species. Selection of the most adequate model to describe a given data-set requires the use of quantitative model selection criteria, such as the partial (sequential) F-test, the Akaike information criterion and the Schwarz Bayesian information criterion, which are suitable for comparing differently parameterized models in terms of the quality and robustness of the fit but have not yet been used in cell growth-profile studies. Results: Length increase data from representative individual fission yeast (Schizosaccharomyces pombe) cells measured on time-lapse films have been reanalyzed using these model selection criteria. To fit the data, an extended version of a recently introduced linearized biexponential (LinBiExp) model was developed, which makes possible a smooth, continuously differentiable transition between two linear segments and, hence, allows fully parametrized bilinear fittings. Despite relatively small differences, essentially all the quantitative selection criteria considered here indicated that the bilinear model was somewhat more adequate than the exponential model for fitting these fission yeast data. Conclusion: A general quantitative framework was introduced to judge the 
TI - The time-profile of cell growth in fission yeast: model selection criteria favoring bilinear models over exponential ones
JF - Theoretical Biology and Medical Modelling
DO - 10.1186/1742-4682-3-16
DA - 2006-03-27
UR - https://www.deepdyve.com/lp/springer-journals/the-time-profile-of-cell-growth-in-fission-yeast-model-selection-4SKV0JU1lU
SP - 1
EP - 10
VL - 3
IS - 1
DP - DeepDyve
ER -