بدائل البحث:
method optimization » lead optimization (توسيع البحث), path optimization (توسيع البحث), feature optimization (توسيع البحث)
small optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), spatial optimization (توسيع البحث)
based method » based methods (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
genes based » gene based (توسيع البحث), lens based (توسيع البحث)
based small » based smart (توسيع البحث), based sample (توسيع البحث)
method optimization » lead optimization (توسيع البحث), path optimization (توسيع البحث), feature optimization (توسيع البحث)
small optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), spatial optimization (توسيع البحث)
based method » based methods (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
genes based » gene based (توسيع البحث), lens based (توسيع البحث)
based small » based smart (توسيع البحث), based sample (توسيع البحث)
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161
Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"
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162
Table1_Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO.docx
منشور في 2024"…The problem of multi-parameter optimization introduced in the support vector regression model was solved by the particle swarm optimization algorithm. …"
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163
Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX
منشور في 2022"…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…"
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164
Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF
منشور في 2022"…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…"
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165
Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF
منشور في 2022"…Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…"
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166
Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"
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167
Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"
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168
Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"
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169
Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf
منشور في 2025"…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …"
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170
DataSheet1_Study of PARP inhibitors for breast cancer based on enhanced multiple kernel function SVR with PSO.ZIP
منشور في 2024"…The problem of multi-parameter optimization introduced in the support vector regression model was solved by the particle swarm optimization algorithm. …"
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Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF...
منشور في 2023"…Necroptosis is a common type of programmed cell death that has been shown to be activated in AD.</p>Methods<p>In this study, we first investigated the expression profiles of necroptosis-related genes (NRGs) and the immune landscape of AD based on GSE33000 dataset. …"