Lack of precision in commercial identification systems: correction using Bayesian analysis
1Department of Microbiology, Tel-Aviv Medical Center, Israel.
Abstract:
Commercial microbial identification systems rank the relative likelihood of species identity on the basis of in vitro reactions only. Failure to consider the prevalence of individual taxa results in a spurious demotion of common species; and a tendency toward over reporting of rare microbes. The incorporation of Bayesian analysis into identification matrices can provide for a realistic ranking of bacterial species which fulfil given biocode schemes.
More Related Videos
10:36Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
10:55Enhancing an Avian Sound Recognition Model's Detection Precision via Logistic Regression of Large Acoustic Datasets: A Case Study of the European Robin (Erithacus rubecula)
Published on: April 11, 2026
Related Concept Videos
Random and Systematic Errors
Propagation of Uncertainty from Systematic Error
Detection of Gross Error: The Q Test
Random and Systematic Errors
Errors in Global Positioning System
Methods of Classification and Identification
