بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
data finding » path finding (توسيع البحث), data fitting (توسيع البحث), case finding (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
data finding » path finding (توسيع البحث), data fitting (توسيع البحث), case finding (توسيع البحث)
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3581
Table 3_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx
منشور في 2025"…</p>Methods<p>Transcriptomic data related to MDD were obtained from public databases. …"
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3582
Image 4_Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.tif
منشور في 2025"…</p>Methods<p>RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. …"
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3583
Table 7_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx
منشور في 2025"…</p>Methods<p>Transcriptomic data related to MDD were obtained from public databases. …"
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3584
Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning....
منشور في 2025"…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …"
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3585
Table 3_Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.xlsx
منشور في 2025"…</p>Methods<p>RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. …"
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3586
Table 4_Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.xlsx
منشور في 2025"…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …"
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3587
Image 1_Association between pro-inflammatory diet and fecal incontinence: a large population-based study.pdf
منشور في 2025"…</p>Methods<p>In this study, we collected cross-sectional data from 31,034 participants enrolled in the National Health and Nutrition Examination Survey (NHANES). …"
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3588
Table 1_Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.xl...
منشور في 2025"…Single-cell RNA sequence data was used to identify cell subtypes and interactive signals. …"
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3589
Image 3_Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.tif
منشور في 2025"…</p>Methods<p>RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. …"
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3590
Image 1_Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.pdf
منشور في 2025"…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …"
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3591
Table 1_Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer.xlsx
منشور في 2025"…Prognostic modeling of PC was developed using 14 machine learning algorithms, with performance validated through long-term survival metrics, functional enrichment, immune infiltration analysis, and drug sensitivity profiling. …"
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3592
Table 6_Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer.xlsx
منشور في 2025"…Prognostic modeling of PC was developed using 14 machine learning algorithms, with performance validated through long-term survival metrics, functional enrichment, immune infiltration analysis, and drug sensitivity profiling. …"
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3593
Table 3_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3594
Table 6_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3595
Table 9_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3596
Table 10_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3597
Table 1_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3598
Table 14_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3599
Table 11_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"
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3600
Table 2_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat...
منشور في 2025"…</p>Methods<p>We performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …"