Qingfeng Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Tyrosine Kinase

Top Venues

Briefings in bioinformatics

Journal of cellular and molecular medicine

Health information science and systems

Journal of immunology research

This page only lists publications with an associated author ORCID identifier.

Publications

Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings in bioinformatics 25 (3) (2024)
Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen, Wei Lan, Shikang Li
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. Briefings in bioinformatics 25 (3) (2024)
Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen, Wei Lan, Shikang Li
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. Briefings in bioinformatics 25 (3) (2024)
Junyue Cao, Qingfeng Chen, Junlai Qiu, Yiming Wang, Wei Lan, Xiaojing Du, Kai Tan
NGCN: Drug-target interaction prediction by integrating information and feature learning from heterogeneous network. Journal of cellular and molecular medicine 28 (7) (2024)
Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings in bioinformatics 25 (3) (2024)
Junyue Cao, Qingfeng Chen, Junlai Qiu, Yiming Wang, Wei Lan, Xiaojing Du, Kai Tan
NGCN: Drug-target interaction prediction by integrating information and feature learning from heterogeneous network. Journal of cellular and molecular medicine 28 (7) (2024)
Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings in bioinformatics 25 (3) (2024)
Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen, Wei Lan, Shikang Li
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. Briefings in bioinformatics 25 (3) (2024)
Junyue Cao, Qingfeng Chen, Junlai Qiu, Yiming Wang, Wei Lan, Xiaojing Du, Kai Tan
NGCN: Drug-target interaction prediction by integrating information and feature learning from heterogeneous network. Journal of cellular and molecular medicine 28 (7) (2024)
Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jian-Xin Wang, Yi-Ping Phoebe Chen
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings in bioinformatics (2023)
Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jian-Xin Wang, Yi-Ping Phoebe Chen
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings in bioinformatics 24 (1) (2023)
Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jian-Xin Wang, Yi-Ping Phoebe Chen
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings in bioinformatics 24 (1) (2023)
Liyu Huang, Qingfeng Chen, Wei Lan
Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. Health information science and systems 11 (1) (2023)
Shunhan Yao, Meiling Deng, Xiaojing Du, Qingfeng Chen, Rongzhi Huang
Identification of Two Novel Immune Subtypes Characterized by Distinct Prognosis and Tumor Microenvironment in Osteosarcoma. Journal of immunology research 2022 (2022)
Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings in bioinformatics (2021)