Means and methods for classifying microbes
AssigneeUniversite de Lausanne
InventorBirge ÖZEL DUYGAN
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AssigneeUniversite de Lausanne
InventorBirge ÖZEL DUYGAN
Estimating the term…
The invention relates to the field of machine learning and comprises supervised learning. In particular, the invention relates to a computer-implemented method for generating a classifier for at least one target microbe by employing supervised machine learning, e.g., an artificial neural network, a classifier that is obtainable by said method, and applications of the inventive classifier. Thus, the invention further relates to a method for quantifying the abundance of at least one target microbe in a sample, and a method for analyzing the microbial composition in a sample. Further provided herein are diagnostic uses of the classifier, i.e. a method for diagnosing a microbial disease in a subject. In addition, the invention relates to a set of standards comprised in the classifier, a computer-readable storage medium, and/or a kit.
A computer-implemented method for generating a classifier for at least one target microbe, wherein said target microbe is a microbial species or strain or a subpopulation thereof, and wherein said method comprises the steps of
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A kit comprising a set of pure microbial cultures or stocks thereof, wherein said set comprises at least 2, 10, 15 or 50 target microbes selected from a group consisting of at least one of the following (i) to (iv):
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A computer-readable storage medium containing data of a plurality of cells of a plurality of target microbes for generating a classifier for at least one target microbe, wherein said data comprise for each cell of said target microbes
Dependencies are inferred from the claim text.