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

Presentations

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

작성일: 2020-09-23
조회수: 57

KMB 47th Annual meeting & International symposium 2020

Prediction of the Pathogenic Potential of STEC Using Support Vector Machine Learning Model (Hanhyeok Im: Poster)

첨부파일:: 첨부파일이 없습니다.

다음글: Three Transcriptional Regulators Control cabABC Expression Essential for Biofilm Development of Vibrio vulnificus (Seung-Ho Hwang: Poster); / 연구소; KMB 47th Annual meeting & International symposium 2020 Three Transcriptional Regulators Control cabABC Expression Essential for Biofilm Development of Vibrio vulnificus (Seung-Ho Hwang: Poster)

이전글: An Unusual Mechanism of IscR for the Activation of vvhBA Operon Encoding a Cytolysin/Hemolysin of Vibrio vulnificus in Response to Host-Derived Signals (Garam Choi: Poster); / 연구소; KMB 47th Annual meeting & International symposium 2020 An Unusual Mechanism of IscR for the Activation of vvhBA Operon Encoding a Cytolysin/Hemolysin of Vibrio vulnificus in Response to Host-Derived Signals (Garam Choi: Poster)

퀵메뉴 바로가기