Quantitative Biology

    

Probabilistic Modeling in the Inference of Fungi Viability

Authors: Jorge Fernandez-de-Cossio, Ariadna Mendoza-Cuevas, Amanda Paz

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.

Comments: 19 Pages.

Download: PDF

Submission history

[v1] 2024-03-09 02:42:50

Unique-IP document downloads: 211 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus