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Prefix	Namespace IRI
n5	http://localhost:8890/about/id/entity/http/purl.obolibrary.org/obo/obi.
n3	http://purl.obolibrary.org/obo/
wdrs	http://www.w3.org/2007/05/powder-s#
rdfs	http://www.w3.org/2000/01/rdf-schema#
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
owl	http://www.w3.org/2002/07/owl#
xsdh	http://www.w3.org/2001/XMLSchema#

Subject Item: n3:OBI_0200002
rdf:type: owl:Class
rdfs:label: logistic-log curve fitting
rdfs:subClassOf: _:vb665926884 n3:OBI_0200072 _:vb665821778 _:vb665846075 _:vb665951181 _:vb669110999 _:vb665223256 _:vb669086814 _:vb665902587 _:vb665878290 _:vb665198959
wdrs:describedby: n5:owl
n3:IAO_0000117: Elisabetta Manduchi Ryan Brinkman Melanie Courtot James Malone
n3:IAO_0000112: Typically used in an enzyme-linked immunosorbent assay (ELISA) to model the relationship between optical density (OD) and dilution. In this case a and d correspond to the theoretical OD of the assay at zero and infinite concentrations, respectively; c is the dilution associated with the point of symmetry of the sigmoid and is located at the midpoint of the assay found at the inflection point of the curve; b is a curvature parameter and is related to the slope of the curve.
n3:IAO_0000115: A logistic-log curve fitting is a curve fitting where a curve of the form y=d+((a-d)/(1+(x/c)^b)) is obtained, where a, b, c, and d are determined so to optimize its fit to the input data points (x_1, y_1), (x_2, y_2), ..., (x_n, y_n).
n3:IAO_0000119: ARTICLE: Plikaytis B.D. et al. (1991), J. Clin. Microbiol. 29(7): 1439-1448
n3:IAO_0000111: logistic-log curve fitting
n3:IAO_0000114: n3:IAO_0000122