Invention Application
- Patent Title: MACHINE LEARNING MODEL-BASED ESSENTIAL GENE IDENTIFICATION METHOD AND ANALYSIS APPARATUS
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Application No.: US17625983Application Date: 2020-07-07
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Publication No.: US20220367008A1Publication Date: 2022-11-17
- Inventor: Jung Kyoon CHOI , Kiwon JANG , Dae Yeon CHO
- Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY , PENTAMEDIX CO., LTD.
- Applicant Address: KR Daejeon; KR Seongnam-si, Gyeonggi-do
- Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY,PENTAMEDIX CO., LTD.
- Current Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY,PENTAMEDIX CO., LTD.
- Current Assignee Address: KR Daejeon; KR Seongnam-si, Gyeonggi-do
- Priority: KR10-2019-0083016 20190710
- International Application: PCT/KR2020/008843 WO 20200707
- Main IPC: G16B40/00
- IPC: G16B40/00 ; G16B25/10

Abstract:
A machine learning model-based essential gene identification method includes receiving, by an analysis apparatus, inputs of expression pattern information on genes of a specific cell; inputting, by the analysis apparatus, the expression pattern information to a machine learning model; and determining, by the analysis apparatus, whether a target gene from among the genes is essential in the survival of the cell on the basis of information output by the machine learning model.
Information query