Work

Hierarchical Graph Representation Learning With Multi-Granularity Features for Anti-Cancer Drug Response Prediction

Year: 2024

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2024.3492806

Authors: Wei Peng, Jiangzhen Lin, Wei Dai, Ning Yu, Jianxin Wang

Institutions: Kunming University of Science and Technology, State University of New York, SUNY Brockport, Central South University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Awards: G1289362119, 基于异质属性网络表征学习的识别癌症驱动基因算法研究, G7923915280

OpenAlex ID: W4404101355

FWCI: 1.757

Cites: 37

Cited by: 9

Related to: 10