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Deciphering Abnormal Platelet Subpopulations in Inflammatory Diseases through Machine Learning and Single-Cell Transcriptomics

2024-03-07

Abstract excerpt

<title>Abstract</title><p>The study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases like sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aims to dissect the complex transcriptional profiles of activated platelets to aid in developing targeted therapies for abnormal and pathogenic plat...

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Literature Corpus work
c9731a06-db2d-511c-bc8f-e56bdb299483
DOI
10.21203/rs.3.rs-4014672/v1
Open publication

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Deciphering Abnormal Platelet Subpopulations in Inflammatory Diseases through Machine Learning and Single-Cell TranscriptomicsDOI 10.21203/rs.3.rs-4014672/v1
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