Non-uniqueness in probabilistic numerical identification of bacteria

In this note we point out an inherent difficulty in numerical identification of bacteria. The problem is that of uniqueness of the taxonomic structure or, in mathematical terms, the lack of statist ...

[1]  W. Blischke.  Estimating the Parameters of Mixtures of Binomial Distributions , 1964 .

[2]  H. Teicher.  Identifiability of Mixtures of Product Measures , 1967 .

[3]  S. Yakowitz,et al.  On the Identifiability of Finite Mixtures , 1968 .

[4]  H. A. David,et al.  PAIRED COMPARISONS FOR PAIRED CHARACTERISTICS , 1968 .

[5]  D. A. Franklin,et al.  Conditional probability and the identification of bacteria: a pilot study. , 1968, Journal of general microbiology.

[6]  J. Wolfe.  PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS. , 1970, Multivariate behavioral research.

[7]  Sidney J. Yakowitz,et al.  Unsupervised learning and the identification of finite mixtures , 1970, IEEE Trans. Inf. Theory.

[8]  S. Bascomb,et al.  Identification of bacteria by computer: identification of reference strains. , 1973, Journal of general microbiology.

[9]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[10]  S. Bascomb,et al.  Identification of bacteria by computer: general aspects and perspectives. , 1973, Journal of general microbiology.

[11]  P. Sneath.  Test Reproducibility in Relation to Identification , 1974 .

[12]  L. R. Hill.  Theoretical Aspects of Numerical Identification1 , 1974 .

[13]  Development of reference systems for automatic identification of clinical isolates of bacteria. , 1976 .

[14]  P. Sneath.  Basic program for character separation indices from an identification matrix of percent positive characters , 1979 .

[15]  P. Sneath,et al.  Basic program for printing a coding sheet for unknowns that are to be identified against an identification matrix of percent positive characters , 1979 .

[16]  P. Sneath.  Numerical taxonomy and automated identification: some implications for geology , 1979 .

[17]  P. Sneath.  Basic program for identification of an unknown with presence-absence data against an identification matrix of percent positive characters , 1979 .

[18]  P. Sneath.  Basic program for the most diagnostic properties of groups from an identification matrix of percent positive characters , 1980 .

[19]  P.H.A. Sneath,et al.  Basic program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters , 1980 .

[20]  M. Krichevsky,et al.  Taxonomic Probability Matrix for Use With Slowly Growing Mycobacteria , 1980 .

[21]  P. Sneath,et al.  Numerical classification of Streptomyces and related genera. , 1983, Journal of general microbiology.

[22]  P. Sneath,et al.  A probability matrix for identification of some Streptomycetes. , 1983, Journal of General Microbiology.

[23]  R. Atlas,et al.  Development of Probability Matrices for Identification of Alaskan Marine Bacteria , 1983 .

[24]  P. Sneath,et al.  A probability matrix for the identification of vibrios. , 1985, The Journal of applied bacteriology.

[25]  B. Holmes,et al.  A probability matrix for the identification of gram-negative, aerobic, non-fermentative bacteria that grow on nutrient agar. , 1986, Journal of general microbiology.

[26]  Brian Austin,et al.  Modern Bacterial Taxonomy , 1986 .

[27]  F. Priest,et al.  A frequency matrix for probabilistic identification of some bacilli. , 1988, Journal of general microbiology.

[28]  P. Sneath,et al.  New probability matrices for identification of Streptomyces. , 1989, Journal of general microbiology.

[29]  J. Maritz,et al.  Empirical Bayes Methods, 2nd Edition. , 1990 .

[30]  R. J. Pankhurst,et al.  Practical Taxonomic Computing , 1991 .

[31]  R. Kroppenstedt,et al.  Probabilistic identification of streptomycetes using miniaturized physiological tests , 1991 .

[32]  B. Plikaytis,et al.  Computer-assisted pattern recognition model for the identification of slowly growing mycobacteria including Mycobacterium tuberculosis. , 1992, Journal of general microbiology.

[33]  P. Kämpfer,et al.  Numerical classification and identification of Aeromonas genospecies. , 1992, The Journal of applied bacteriology.