Quantitative Biology

2403 Submissions

[1] viXra:2403.0038 [pdf] submitted on 2024-03-09 02:42:50

Probabilistic Modeling in the Inference of Fungi Viability

Authors: Jorge Fernandez-de-Cossio, Ariadna Mendoza-Cuevas, Amanda Paz
Comments: 19 Pages.

Preservation of large volumes of documentary materials requires massive treatments to control fungal biodeterioration. Multi-inoculum in limited-dilution experiments is an economical format to provide informative data for fungal viability. Data gathering can be simpler and more precise, when the model for the assessment of viability depends on the number of colonized wells instead of the number of colonies, since the later vary in shape and definition. Probabilistic modeling for this kind of data led us to a truncated form of the Beta-exponential function, a variant from a family of generalized distributions, recently derived. We discuss performance from actual experimental data, and evaluate antifungal effect of biocide treatments in terms of viability.
Category: Quantitative Biology