Leveraging baseline transcriptional features and information from single-cell data to power the prediction of influenza vaccine response.

Authors:
Ye X; Yang S; Tu J; Xu L; Wang Y and 3 more

Journal:
Front Cell Infect Microbiol

Publication Year: 2024

DOI:
10.3389/fcimb.2024.1243586

PMCID:
PMC10879619

PMID:
38384303

Journal Information

Full Title: Front Cell Infect Microbiol

Abbreviation: Front Cell Infect Microbiol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Communicable Diseases

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Natural Science Foundation of China (Nos. 82173585 and 82273741), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the Nanjing Important Science & Technology Specific Projects (No. 2021–11005), and the Science and Technology Program for Social Development of Jurong (No. ZA42205)."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025