بدائل البحث:
algorithm python » algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pca » algorithm a (توسيع البحث), algorithm cl (توسيع البحث), algorithm co (توسيع البحث)
algorithm python » algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pca » algorithm a (توسيع البحث), algorithm cl (توسيع البحث), algorithm co (توسيع البحث)
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801
DGIdb.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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802
Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies
منشور في 2024"…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …"
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803
Glucocorticoid related genes.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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804
CIBERSORTx results.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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805
Differential gene expression analysis results.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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806
GSEA result.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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807
Enrichment analysis of GO.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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808
Lasso gene RF hub gene.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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809
Enrichment analysis of KEGG.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
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810
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...
منشور في 2025"…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
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811
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...
منشور في 2025"…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
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812
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...
منشور في 2025"…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
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813
Raw LC-MS/MS and RNA-Seq Mitochondria data
منشور في 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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814
DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx
منشور في 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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815
Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx
منشور في 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. …"