Kniha Machine Learning for Microbial Phenotype Prediction Roman Feldbauer

Machine Learning for Microbial Phenotype Prediction

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 147
This thesis presents a scalable, generic methodology for microbial phenotype prediction based on sup...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
110
EAN
9783658143183
ISBN
9783658143183
Enbook ID
10929535
Hmotnost
1707
Rozměry
148 x 210 x 8

Kompletní popis

This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datasets. The results suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-complete microbial genome sequences, as generated in large numbers in current metagenomic studies. Unraveling relationships between a living organism's genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.

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