Trajectory and cell-cell communication analysis.

<p>(A) Differentiation trajectory results for T cells. (B) Heatmap of marker genes expression along the pseudotime trajectory. (C, E) The number and weight of interaction in cell-cell communication network. (D, F) Heatmap visualizing the possible incoming or outgoing signaling pathways among c...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Kaiyi Zhou (2553352) (author)
مؤلفون آخرون:	Siyu Luo (11856014) (author), Qinxiao Wang (20141557) (author), Sheng Fang (709608) (author)
منشور في:	2024
الموضوعات:	Biophysics Cell Biology Genetics Molecular Biology Immunology Developmental Biology Cancer Hematology Biological Sciences not elsewhere classified receiver operating characteristic nf -&# 954 lymphocyte antigen 96 least absolute shrinkage inflammatory musculoskeletal disorders constructed using data b signaling pathways gsea analysis indicated gene expression omnibus gap junction function cell sequencing data enhanced vegf signaling seven overlapping degs decision curve analysis immune cell function two marker genes tf network suggested potential diagnostic markers study identified rpl22l1 vegf signaling results indicated potential association marker genes high expression gap junctions diagnostic capacity cell infiltration cell development cell communication immune landscape immune infiltrates immune cells xlink "> utilized datasets transcription factor thereby exploring shared biomarkers selection operator rheumatoid arthritis rfe ). psoriatic arthritis nk cells mechanistic similarities machine learning like receptors like 1 key biomarkers investigations demonstrated findings based experimental approaches dca ). comprehensive understanding common types cellular subpopulations cells examined
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Trajectory and cell-cell communication analysis.

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