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논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
Development of a Deep Learning-based Framework for the Prediction of Enzyme Commission Numbers
한국생물공학회 학술대회
2023 .04
Deep Learning Approach for High-quality and High-throughput Enzyme Commission Number Prediction
한국생물공학회 학술대회
2022 .04
DeepEC: a Computational Framework for Prediction of Enzyme Commission Numbers Using Deep Learning Method
한국생물공학회 학술대회
2019 .10
Functional Annotation of Enzyme Encoding Genes Using Deep Learning
한국생물공학회 학술대회
2023 .10
Deep Learning
대한토목학회지
2021 .06
Genetic Enzyme Screening System : A Method for High-Throughput Functional Screening of Novel Enzymes from Metagenomic Libraries
한국생물공학회 학술대회
2015 .10
Global temperature prediction using Deep Learning
한국정보과학회 학술발표논문집
2020 .07
Evolution Based Machine Learning for Enzyme Activity Engineering
한국생물공학회 학술대회
2022 .09
Enzymes in Mesoporous Carbon for Sensitive/High-Powered Enzyme Electrodes with a Long Lifetime
한국생물공학회 학술대회
2017 .04
Rapid development of enzymes for biological process using bioinformatics
한국생물공학회 학술대회
2017 .10
딥러닝을 활용한 위험 지역 예측 기법
한국정보통신학회 종합학술대회 논문집
2020 .10
Prediction of the Feasibility of Retrobiosynthetic Enzyme Reactions Using Deep Learning
한국생물공학회 학술대회
2023 .10
Development of a novel high throughput selection method for proteins with improved solubility
한국생물공학회 학술대회
2018 .04
“딥러닝이 바꾸는 미래사회” 특집을 내면서
정보과학회지
2019 .02
Application of Sequence Co-Evolution and Structural Analysis for the Enhancing of Enzyme Activity
한국생물공학회 학술대회
2023 .10
Deep Learning Model Architecture for Rare Event Time Series Prediction
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2019 .06
New strategy for Ultra-High-Throughput Screening (uHTS) of Novel Enzyme/Pathway from Metagenomic Resources
한국생물공학회 학술대회
2016 .10
Enzyme Adsorption, Precipitation and Crosslinking of Lipase on Polyaniline Nanofibers and Its Application
한국생물공학회 학술대회
2015 .04
Engineering Enzyme Therapeutics for Cancer Immunotherapy and Inborn Errors of Metabolism
한국생물공학회 학술대회
2021 .04
Toward AI-Based High-Throughput Protein Engineering
한국생물공학회 학술대회
2022 .09
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