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U. Pape, S. Rahmann, Fengzhu Sun, M. Vingron (2008)
Compound Poisson Approximation of the Number of Occurrences of a Position Frequency Matrix (PFM) on Both StrandsJournal of computational biology : a journal of computational molecular cell biology, 15 6
N. Cristianini, Matthew Hahn (2007)
Introduction to computational genomics - a case studies approach
R. Durbin, S. Eddy, A. Krogh, G. Mitchison (1998)
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
O. Lundberg (1940)
On random processes and their application to sickness and accident statistics
A. Bartkowiak (2008)
Nonlinear Dimensionality Reduction by Isomap and MLEdim as Applied to Amino-Acid Distribution in Yeast ORFs2008 7th Computer Information Systems and Industrial Management Applications
A. Kyriakoussis, Gang Li, A. Papadopoulos (1998)
On characterization and goodness-of-fit test of some discrete distribution familiesJournal of Statistical Planning and Inference, 74
F. Massey (1951)
The Kolmogorov-Smirnov Test for Goodness of FitJournal of the American Statistical Association, 46
P. Hinz, J. Gurland (1970)
A Test of Fit for the Negative Binomial and Other Contagious DistributionsJournal of the American Statistical Association, 65
M. Fisz (1962)
Wahrscheinlichkeitsrechnung und mathematische Statistik
A. Bartkowiak, Adam Szustalewicz (2008)
Intrinsic Dimensionality of Data and of their Representatives. A Case Study of Amino-Acid Distribution in ORFs2008 7th Computer Information Systems and Industrial Management Applications
Sonoma State, M. Day, H. Colloquium, Terry Speed (1998)
Biological Sequence Analysis
S. Robin (2002)
A compound Poisson model for word occurrences in DNA sequencesJournal of The Royal Statistical Society Series C-applied Statistics, 51
N. Cristianini, Matthew Hahn (2007)
Introduction To Computational Genomics
Sophie Schbath (1997)
Compound Poisson approximation of word counts in DNA sequencesEsaim: Probability and Statistics, 1
Aristidis Nikoloulopoulos, D. Karlis (2008)
On modeling count data: a comparison of some well-known discrete distributionsJournal of Statistical Computation and Simulation, 78
S. Meintanis (2005)
Transform methods for testing the negative binomial hypothesisStatistica, 65
W. Conover (1972)
A Kolmogorov Goodness-of-Fit Test for Discontinuous DistributionsJournal of the American Statistical Association, 67
L. Miller (1956)
Table of Percentage Points of Kolmogorov StatisticsJournal of the American Statistical Association, 51
S. Horn (1977)
Goodness-of-fit tests for discrete data: a review and an application to a health impairment scale.Biometrics, 33 1
The genetic code of living organisms is inscribed into so called Open Reading Frames (ORFs) positioned in chromosomes. The code uses 20 amino acids as building blocks for the inscribed information. We show that the number of appearances of a given amino acid in ORFs on a yeast chromosome may be described in a highly satisfactory manner by the Negative Binomial (NB) distribution. The fit is surprisingly good. We show the results for ORFs found in four yeast chromosomes, namely no. 4, 7, 11 and 13. The negative binomial fit is shown (1) graphically; (2) considering the Kolmogorov statistic; (3) performing a chi-square test and (4) using simulated samples. The applicability of the Kolmogorov test to the analysed data is discussed.
International Journal of Biometrics – Inderscience Publishers
Published: Jan 1, 2009
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