CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics.

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Title: CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics.
Authors: Young, Jade1 (AUTHOR), Inamo, Jun1,2 (AUTHOR), Caterer, Zachary3 (AUTHOR), Krishna, Revanth1,2 (AUTHOR), Zhang, Fan1,2 (AUTHOR) fan.3.zhang@cuanschutz.edu
Source: Advanced Science. 11/13/2025, Vol. 12 Issue 42, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics.
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  Data: <searchLink fieldCode="JN" term="%22Advanced+Science%22">Advanced Science</searchLink>. 11/13/2025, Vol. 12 Issue 42, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189333253
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        Value: 10.1002/advs.202503289
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        Text: English
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      – TitleFull: CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics.
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              Text: 11/13/2025
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              Y: 2025
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