AIMC Topic: Chemokine CXCL13

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MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.

Science advances Apr 4, 2025
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provides a powerful approach for in-depth T cell immune function research. Here, we introduce a deep learning framework for single-T cell transcriptome and ...
Humans COVID-19 SARS-CoV-2 T-Lymphocytes Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis Lung Neoplasms Receptors, Antigen, T-Cell Immunotherapy CD8-Positive T-Lymphocytes Chemokine CXCL13
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Construction of enhanced CT radiomics model for noninvasive prediction of CXCL13's expression and immune infiltrates in bladder cancer based on logistic regression and support vector machine algorithm.

Asian journal of surgery Aug 29, 2023
Humans Retrospective Studies Tomography, X-Ray Computed Logistic Models Support Vector Machine Urinary Bladder Neoplasms Chemokine CXCL13
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Identification of genetic indicators linked to immunological infiltration in idiopathic pulmonary fibrosis.

Medicine May 9, 2025
This study employed bioinformatics to investigate potential molecular markers associated with idiopathic pulmonary fibrosis (IPF) and examined their correlation with immune-infiltrating cells. Microarray data for IPF were retrieved from the Gene Expr...
Humans Gene Expression Profiling ROC Curve Protein Interaction Maps Computational Biology Idiopathic Pulmonary Fibrosis Transforming Growth Factor beta1 Signaling Lymphocytic Activation Molecule Family Chemokine CXCL13
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