بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
testing algorithm » twisting algorithm (توسيع البحث), hastings algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
based testing » based teaching (توسيع البحث), care testing (توسيع البحث), acid testing (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
testing algorithm » twisting algorithm (توسيع البحث), hastings algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
based testing » based teaching (توسيع البحث), care testing (توسيع البحث), acid testing (توسيع البحث)
element » elements (توسيع البحث)
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6561
Image 9_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6562
Image 2_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6563
Image 10_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6564
Image 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6565
Image 3_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6566
Image 5_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6567
Image 8_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif
منشور في 2025"…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …"
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6568
Image 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6569
Image 4_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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6570
Image 3_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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6571
Table 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6572
Table 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6573
Supplementary file 1_Gene expression profile in colon cancer therapeutic resistance and its relationship with the tumor microenvironment.docx
منشور في 2025"…The following algorithms were used: i. Limma was applied to identify differentially expressed genes; ii. …"
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6574
Image 5_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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6575
Image 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6576
Image 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.jpeg
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6577
Table 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx
منشور في 2025"…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"
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6578
Image 2_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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6579
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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6580
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"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"