NeoDesign: a computational tool for optimal selection of polyvalent neoantigen combinations

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Publication Details

Journal
Bioinformatics
Published
2024-09-27
DOI
https://doi.org/10.1093/bioinformatics/btae585
Citations
2
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.81

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article

NeoDesign: a computational tool for optimal selection of polyvalent neoantigen combinations

Hena Zhang, Wenqian Yu, Shenglin Huang, Jingjing Zhao et al.
2 citations
Bioinformatics
Monoclonal and Polyclonal Antibodies Research
0.81
article

NeoDesign: a computational tool for optimal selection of polyvalent neoantigen combinations

Hena Zhang, Wenqian Yu, Shenglin Huang, Jingjing Zhao, Zhixiang Hu, Kalam Ke, Hongwu Yu
article en
2 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(10)
Shanghai Medical College of Fudan University (CN), Fudan University Shanghai Cancer Center (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 25%
Monoclonal and Polyclonal Antibodies Research
0.81
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