بدائل البحث:
algorithm machine » algorithm achieves (توسيع البحث), algorithm within (توسيع البحث)
machine function » achieve functions (توسيع البحث), sine function (توسيع البحث)
using function » using functional (توسيع البحث), sine function (توسيع البحث), waning function (توسيع البحث)
algorithm machine » algorithm achieves (توسيع البحث), algorithm within (توسيع البحث)
machine function » achieve functions (توسيع البحث), sine function (توسيع البحث)
using function » using functional (توسيع البحث), sine function (توسيع البحث), waning function (توسيع البحث)
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Image 6_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif
منشور في 2025"…Meanwhile, the ESTIMATE algorithm was used for immune infiltration analysis and prediction of immunotherapy response, and the Genomics of Drug Sensitivity in Cancer (GDSC) database was utilized for the drug sensitivity analysis of NUBPL. …"
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182
Image 1_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif
منشور في 2025"…Meanwhile, the ESTIMATE algorithm was used for immune infiltration analysis and prediction of immunotherapy response, and the Genomics of Drug Sensitivity in Cancer (GDSC) database was utilized for the drug sensitivity analysis of NUBPL. …"
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183
Image 2_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif
منشور في 2025"…Meanwhile, the ESTIMATE algorithm was used for immune infiltration analysis and prediction of immunotherapy response, and the Genomics of Drug Sensitivity in Cancer (GDSC) database was utilized for the drug sensitivity analysis of NUBPL. …"
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184
Table 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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185
Table 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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186
Image 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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187
Image 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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188
Image 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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189
Table 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx
منشور في 2025"…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …"
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190
Data Sheet 1_Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and explora...
منشور في 2025"…Second, machine learning algorithms were utilized to identify the key genes among them, and the HPA database was used to explore the expression landscape. …"
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191
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Image 2_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif
منشور في 2025"…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …"
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193
Table 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.xlsx
منشور في 2025"…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …"
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194
Image 3_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif
منشور في 2025"…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …"
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195
Image 4_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif
منشور في 2025"…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …"
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196
Image 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.jpeg
منشور في 2025"…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …"
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197
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199
Data Sheet 2_Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments.zip
منشور في 2025"…Additionally, the GSE68776 dataset was used for external validation. To identify key diagnostic genes, we applied three machine learning algorithms: least absolute shrinkage and selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE), and random forest (RF).…"
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200
Data Sheet 1_Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments.zip
منشور في 2025"…Additionally, the GSE68776 dataset was used for external validation. To identify key diagnostic genes, we applied three machine learning algorithms: least absolute shrinkage and selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE), and random forest (RF).…"