DSA-DeepFM: a dual-stage attention-enhanced DeepFM model for predicting anticancer synergistic drug combinations

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf269
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

DSA-DeepFM: a dual-stage attention-enhanced DeepFM model for predicting anticancer synergistic drug combinations

Louxin Zhang, Yuexi Gu, Yanhui Sun, Jian Zu
Bioinformatics Advances
Computational Drug Discovery Methods
article

DSA-DeepFM: a dual-stage attention-enhanced DeepFM model for predicting anticancer synergistic drug combinations

Louxin Zhang, Yuexi Gu, Yanhui Sun, Jian Zu
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
National University of Singapore (SG), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 66%
Computational Drug Discovery Methods
DOIOpen Access PDFOpenAlex
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DSA-DeepFM: a dual-stage attention-enhanced DeepFM model for predicting anticancer synergistic drug combinations — Louxin Zhang, Yuexi Gu, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS