Trajectory analyses of a single cell.

Trajectory analyses of a single cell.

<p><b>(A)</b> Clustering UMAP plots of fibroblasts in HF and control samples. <b>(B)</b> Trajectory analyses of a single cell. <b>(C)</b> Heatmap depicting ITIH5, FNDC1,ISLR and ASPN in fibroblasts based on the pseudotime trajectory. <b>(D)</b> D...

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Bibliographic Details
Main Author:	Ming Du (532508) (author)
Other Authors:	Shuang He (514412) (author), Jiaojiao Liu (1943275) (author), Long Yuan (2617487) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Genetics Molecular Biology Cancer Mental Health Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified weighted gene co successfully developed using provide significant insights potential therapeutic targets molecular docking offering machine learning approaches immune infiltration evaluations gene sequencing technologies gene expression omnibus deep learning model cell rna sequencing numerous genes associated differentially expressed genes uncovering key biomarkers expression network analysis analysis via single novel diagnostic model identified key genes key genes intersection analysis diagnostic performance wgcna ). regulation patterns recent advancements indicated stable heart failure gsea ), feasible pathway elevated rates cnn ),
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