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Benchmark of structured machine learning methods for microbial identification from mass-spectrometry...

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2083294083

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data

About this item

Full title

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2015-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Microbial identification is a central issue in microbiology, in particular in the fields of infectious diseases diagnosis and industrial quality control. The concept of species is tightly linked to the concept of biological and clinical classification where the proximity between species is generally measured in terms of evolutionary distances and/o...

Alternative Titles

Full title

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2083294083

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2083294083

Other Identifiers

E-ISSN

2331-8422

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