بدائل البحث:
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm fc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithms mc (توسيع البحث)
fc function » spc function (توسيع البحث), _ function (توسيع البحث), a function (توسيع البحث)
within function » fibrin function (توسيع البحث), protein function (توسيع البحث), catenin function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm fc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithms mc (توسيع البحث)
fc function » spc function (توسيع البحث), _ function (توسيع البحث), a function (توسيع البحث)
-
761
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. …"
-
762
Glucocorticoid related genes.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
-
763
CIBERSORTx results.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
-
764
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. …"
-
765
GSEA result.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
-
766
Enrichment analysis of GO.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
-
767
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. …"
-
768
Enrichment analysis of KEGG.
منشور في 2025"…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
-
769
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.…"
-
770
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.…"
-
771
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.…"
-
772
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. …"
-
773
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. …"