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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)
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721
Differential gene expression analysis results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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722
GSEA result.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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723
Enrichment analysis of GO.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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724
Lasso gene RF hub gene.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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725
Enrichment analysis of KEGG.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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726
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...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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727
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...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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728
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...
Published 2025“…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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729
Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…Differentially altered pathways were evaluated by using the enrich plot package in R for visualization of functional enrichment (i.e., dot plot).</p>…”
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730
DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx
Published 2024“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”
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731
Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx
Published 2024“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”