Data Sheet 4_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx by Wentong Li (492392)

“…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.…”

Consensus group. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

GSVA pathway. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Hallmark significant GSVA results. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

RBP table. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Enrichment analysis of GO. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Differential gene expression analysis results. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

The flowchart of this study. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

DGIdb. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies by Pavani Gaddala (19761334)

“…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …”

Glucocorticoid related genes. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

CIBERSORTx results. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Differential gene expression analysis results. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

GSEA result. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Enrichment analysis of GO. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Lasso gene RF hub gene. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Enrichment analysis of KEGG. by Yinghao Ren (17915291)

“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”

Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”

Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”

Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”