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January 28, 2026Interdisciplinary Sciences Computational Life Sciences

Inferring Phenotypes of Single Cells Based on the Expression Profiles of Phenotype-Associated Marker Genes in Bulks and Single Cells

Yin He Rongzhuo Long Xiaosheng Wang

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Key Points

Phenotype inference occurs from single cell and bulk analysis, enhancing our understanding of cellular behavior.
Key evidence indicates that expression profiles of phenotype-associated marker genes significantly inform phenotype prediction.
Analysis involves correlating expression profiles of marker genes in bulk samples with those in single cells.
Significance highlights potential advances in single cell analysis, which may elucidate biological processes and disease mechanisms.

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Implication

Observational analysis infers phenotypes using gene expression profiles from bulk and single cells, suggesting insights into cellular diversity.

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Cite This Study

He et al. (2026) studied this question.

synapsesocial.com/papers/69a75c43c6e9836116a24f90 https://doi.org/10.1007/s12539-025-00803-6

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