Search alternatives:
codon optimization » wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary gene » primary end (Expand Search), primary level (Expand Search), primary means (Expand Search)
codon optimization » wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary gene » primary end (Expand Search), primary level (Expand Search), primary means (Expand Search)
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Table1_Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms.DOCX
Published 2022“…Compared with traditional bulk RNA-seq, single-cell RNA sequencing (scRNA-seq) enables the transcriptomes of a great deal of individual cells assayed in an unbiased manner, showing the potential to deeply reveal tumor heterogeneity. In this study, based on the scRNA-seq results of primary neoplastic cells and paired normal liver cells from eight HCC patients, a new strategy of machine learning algorithms was applied to screen core biomarkers that distinguished HCC tumor tissues from the adjacent normal liver. …”
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Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX
Published 2023“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
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Table2_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX
Published 2023“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
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Table1_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX
Published 2023“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
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Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX
Published 2021“…When optimizing culture media for primary cells used in cell and gene therapy, traditional DoE approaches that depend on interpretable models will not always provide reliable predictions due to high donor variability. …”
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primary mouse RT single cell RNA-seq
Published 2023“…The clustering was conducted using the graph-based modularity optimization Louvain algorithm implemented in Seurat v3. …”
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Table_1_Identification and Analysis of Glioblastoma Biomarkers Based on Single Cell Sequencing.XLSX
Published 2020“…Besides, an optimal classification model using a support vector machine (SVM) algorithm as the classifier was also built. …”
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