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A bacterial reporter panel for the detection and classification of antibiotic substances.

Melamed S, Lalush C, Elad T, Yagur-Kroll S, Belkin S, Pedahzur R - Microb Biotechnol (2012)

Bottom Line: The ever-growing use of pharmaceutical compounds, including antibacterial substances, poses a substantial pollution load on the environment.All of the tested antibiotics were detected by the panel, which displayed different response patterns for each substance.These unique responses were analysed by several algorithms that enabled clustering the compounds according to their functional properties, and allowed the classification of unknown antibiotic substances with a high degree of accuracy and confidence.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, the Hebrew University of Jerusalem, Jerusalem, Israel.

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Related in: MedlinePlus

Average error rate estimates of six classification algorithms and the majority voting tested in class mode of the database in time‐dependent or ‐independent manner.
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Related In: Results  -  Collection


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f6: Average error rate estimates of six classification algorithms and the majority voting tested in class mode of the database in time‐dependent or ‐independent manner.

Mentions: To further improve classifier accuracy, we have expanded the decision algorithm to employ time‐dependent data analysis. In this manner, a decision was made at each time point by a majority voting between it and all preceding time points. A considerable decrease was obtained in the average error rate estimates in nearly all cases, both in the individual mode and in the class mode (Figs 6 and S1).


A bacterial reporter panel for the detection and classification of antibiotic substances.

Melamed S, Lalush C, Elad T, Yagur-Kroll S, Belkin S, Pedahzur R - Microb Biotechnol (2012)

Average error rate estimates of six classification algorithms and the majority voting tested in class mode of the database in time‐dependent or ‐independent manner.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3815330&req=5

f6: Average error rate estimates of six classification algorithms and the majority voting tested in class mode of the database in time‐dependent or ‐independent manner.
Mentions: To further improve classifier accuracy, we have expanded the decision algorithm to employ time‐dependent data analysis. In this manner, a decision was made at each time point by a majority voting between it and all preceding time points. A considerable decrease was obtained in the average error rate estimates in nearly all cases, both in the individual mode and in the class mode (Figs 6 and S1).

Bottom Line: The ever-growing use of pharmaceutical compounds, including antibacterial substances, poses a substantial pollution load on the environment.All of the tested antibiotics were detected by the panel, which displayed different response patterns for each substance.These unique responses were analysed by several algorithms that enabled clustering the compounds according to their functional properties, and allowed the classification of unknown antibiotic substances with a high degree of accuracy and confidence.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, the Hebrew University of Jerusalem, Jerusalem, Israel.

Show MeSH
Related in: MedlinePlus