원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 7th International Conference on Next Generation Computing 2021
2021.11
pp.283-284
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In regard to recent advancements in metagenomic sequencing, it is now possible to sequence large numbers of microbial genomes with ease. Taxonomic classification of metagenomic data remains a crucial task as it provides useful information in finding relationships between other microbial species in a given area or possible infectious diseases. Over the past decade, deep learning has proven to be a powerful tool in classifying multiple objects. By combining both studies it is possible to gain taxonomic classification of metagenomic data with proficiency.
목차
Abstract
I. INTRODUCTION
II. RELATED WORKS
III. EXPERIMENTS
A. Dataset
B. Models
C. Experimental results
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
I. INTRODUCTION
II. RELATED WORKS
III. EXPERIMENTS
A. Dataset
B. Models
C. Experimental results
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보