Title:
DRUG SENSITIVITY PREDICTION METHOD, MODEL TRAINING METHOD, STORAGE MEDIUM AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/221125
Kind Code:
A1
Abstract:
A drug sensitivity prediction method, a model training method, a storage medium and a device. The drug sensitivity prediction method comprises: acquiring gene expression information of a cell line to be tested, gene mutation information of said cell line and structural information of a drug to be tested; on the basis of a first attention model, calculating first correlation information between the structural information of said drug and the gene expression information; on the basis of a second attention model, calculating second correlation information between the structural information of said drug and the gene mutation information; splicing the first correlation information and the second correlation information to obtain a splicing result; and on the basis of a drug sensitivity prediction model, performing prediction processing on the splicing result, so as to obtain sensitivity information of said cell line with regard to said drug.
Inventors:
CAO PI (CN)
LIANG SHUOBIN (CN)
LIANG SHUOBIN (CN)
Application Number:
PCT/CN2022/094234
Publication Date:
November 23, 2023
Filing Date:
May 20, 2022
Export Citation:
Assignee:
BOE TECHNOLOGY GROUP CO LTD (CN)
International Classes:
G16H70/40
Foreign References:
| CN113782089A | 2021-12-10 | |||
| CN112768089A | 2021-05-07 | |||
| CN112435754A | 2021-03-02 | |||
| CN113889217A | 2022-01-04 | |||
| US20190370616A1 | 2019-12-05 |
Other References:
LEI DENG;ZIXUAN LIU;YURONG QIAN;JINGPU ZHANG: "Predicting circRNA-drug sensitivity associations via graph attention auto-encoder", BMC BIOINFORMATICS, BIOMED CENTRAL LTD, LONDON, UK, vol. 23, no. 1, 4 May 2022 (2022-05-04), London, UK, pages 1 - 15, XP021301541, DOI: 10.1186/s12859-022-04694-y
Attorney, Agent or Firm:
AFD CHINA INTELLECTUAL PROPERTY LAW OFFICE (CN)
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