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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

DOI:

10.3791/62250-v

•

09:34 min

•

September 25, 2021

•

Zhencheng Fang², Hongwei Zhou³

¹Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital,Southern Medical University, ²Center for Quantitative Biology,Peking University, ³State Key Laboratory of Organ Failure Research,Southern Medical University

Chapters

00:07Introduction
01:35The Installation of the Virtual Machine
04:11Create Shared Folders and Prepare the Files for the Training Set and Test Set
06:55Digitize the Biological Sequences Using “One‐Shot” Encoding Form
07:27Train and Test the Artificial Neural Network
08:12Result
08:52Conclusion

Summary

자동 번역

This tutorial describes a simple method to construct a deep learning algorithm for performing 2-class sequence classification of metagenomic data.

Tags

Keywords: Virtual Machine Deep Learning Biological Sequence Classification Metagenomic Data Species Classification Gene Function Classification Host Classification Deep Learning Framework Sequence Classification VirtualBox Ubuntu

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