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Development of a quantitative prediction algorithm for human cord blood-derived CD34+ hematopoietic stem-progenitor cells using parametric and non-parametric machine learning models

Crossref DOI link: https://doi.org/10.1038/s41598-024-75731-4

Published Online: 2024-10-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Leung, Chi-Kwan

Zhu, Pengcheng

Loke, Ian

Tang, Kin Fai

Leung, Ho-Chuen

Yeung, Chin-Fung
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Text and Data Mining valid from 2024-10-23

Version of Record valid from 2024-10-23
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Article History

Received: 4 August 2023

Accepted: 8 October 2024

First Online: 23 October 2024

Declarations

:

: The authors declare no competing interests.

: The study was performed in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committee of Cordlife Group.

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