Search alternatives:
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
-
701
Image1_“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.jpeg
Published 2024“…Cytokines facilitate intercellular communication within the immune system, induce immune cells polarisation, and exacerbate oxidative stress in IDD. …”
-
702
Supplementary file 1_Single-cell and bulk transcriptomic analyses reveal PANoptosis-associated immune dysregulation of fibroblasts in periodontitis.zip
Published 2025“…By integrating bulk transcriptomic data with machine learning algorithms, we identified and validated key PANoptosis-related genes, highlighting their potential as novel therapeutic targets.…”
-
703
Data Sheet 1_Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.docx
Published 2025“…Machine learning algorithms (LASSO and Random Forest) were used to identify key diagnostic genes. …”
-
704
Data Sheet 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
705
Data Sheet 5_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.csv
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
706
Supplementary file 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.docx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
707
Data Sheet 2_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
708
Data Sheet 3_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
709
Data Sheet 4_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
-
710
Consensus group.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
711
GSVA pathway.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
712
Hallmark significant GSVA results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
713
RBP table.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
714
Enrichment analysis of GO.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
715
Differential gene expression analysis results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
716
The flowchart of this study.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
717
DGIdb.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
718
Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies
Published 2024“…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …”
-
719
Glucocorticoid related genes.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
-
720
CIBERSORTx results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”