식품안전성 독성학실 - Prediction of the Pathogenic Potential of STEC Using Machine Learning Model (Hanhyeok Im: Oral)

Presentations

제목: Prediction of the Pathogenic Potential of STEC Using Machine Learning Model (Hanhyeok Im: Oral)

작성일: 2020-10-07
조회수: 73

2020 Annual Meeting of the Microbiological Society of Korea

Prediction of the Pathogenic Potential of STEC Using Machine Learning Model (Hanhyeok Im: Oral)

첨부파일:: 첨부파일이 없습니다.

다음글: Transcriptional Regulator IscR Integrates Host-derived Nitrosative Stress and Iron Starvation in Activation of the vvhBA Operon in Vibrio vulnificus (Garam Choi: Oral); / 연구소; 2020 Annual Meeting of the Microbiological Society of Korea Transcriptional Regulator IscR Integrates Host-derived Nitrosative Stress and Iron Starvation in Activation of the vvhBA Operon in Vibrio vulnificus (Garam Choi: Oral)

이전글: A Single Nucleotide Polymorphism in envZ Differentiates Virulence-related Phenotypes in Salmonella enterica serovar Enteritidis (Duhyun Ko: Oral); / 연구소; 2020 Annual Meeting of the Microbiological Society of Korea A Single Nucleotide Polymorphism in envZ Differentiates Virulence-related Phenotypes in Salmonella enterica serovar Enteritidis (Duhyun Ko: Oral)

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