Machine Learning in Biology

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Аннотация

The increase of experimental data at the beginning of the XXI century coincided with the revolution in machine learning methods, which began to be actively used for solving biological problems. The main advantage of machine learning is the ability to formulate and test many hypotheses based on large datasets from modern experiments. The article discusses several machine learning algorithms and examples of their practical application in genetics and genomics.

Негізгі сөздер

Авторлар туралы

A. Taskina

Institute of Cytology and Genetics, Siberian Branch of RAS; Novosibirsk State University

Novosibirsk, Russia

A. Muravyova

Institute of Cytology and Genetics, Siberian Branch of RAS; Novosibirsk State University

Novosibirsk, Russia

A. Elsukova

Institute of Cytology and Genetics, Siberian Branch of RAS; Novosibirsk State University

Novosibirsk, Russia

V. Fishman

Institute of Cytology and Genetics, Siberian Branch of RAS; Novosibirsk State University

Email: minja-f@ya.ru
Novosibirsk, Russia

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