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Machine learning algorithms integrate bulk and single-cell RNA data to reveal the crosstalk and heterogeneity of Glycolysis and Lactylation activity following Pulmonary Arterial Hypertension

2025-04-25

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Glycolysis and lactylation activity significantly impact the pathogenesis of Pulmonary Arterial Hypertension (PAH); however, studies exploring their heterogeneity and potential correlation at the single-cell level are still lacking. Identifying the feature genes that are commonly regulated by both glycolysis and lactylation could significantly enhance our unders...

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Literature Corpus work
c5bcb9ef-f691-5bf8-b6b8-5a7fa6992769
DOI
10.21203/rs.3.rs-6229513/v1
Open publication

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Machine learning algorithms integrate bulk and single-cell RNA data to reveal the crosstalk and heterogeneity of Glycolysis and Lactylation activity following Pulmonary Arterial HypertensionDOI 10.21203/rs.3.rs-6229513/v1
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