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process optimization » model optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
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degs based » diets based (Expand Search), lens based (Expand Search), wgs based (Expand Search)
process optimization » model optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary task » binary mask (Expand Search)
degs based » diets based (Expand Search), lens based (Expand Search), wgs based (Expand Search)
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Data Sheet 1_Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis....
Published 2025“…Differentially expressed genes (DEGs) were identified from transcriptomic data processed with the "DESeq2" R package. …”
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22
Table2_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.XLSX
Published 2022“…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …”
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23
Table1_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.XLSX
Published 2022“…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …”
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24
Presentation1_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.PDF
Published 2022“…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …”
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25
Image1_Comprehensive analysis of key m5C modification-related genes in type 2 diabetes.PDF
Published 2022“…</p><p>Methods: The merged gene expression profiles from two Gene Expression Omnibus (GEO) datasets were used to identify m5C-related genes and T2D-related differentially expressed genes (DEGs). Least-absolute shrinkage and selection operator (LASSO) regression analysis was performed to identify optimal predictors of T2D. …”
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26
<b>A Single-cell Transcriptomic Sequencing Dataset of Early Female and Male Chicken (</b><b><i>Gallus gallus</i></b><b>) Embryos</b>
Published 2025“…The UMAP algorithm was optimized with a neighborhood size of 20 to achieve optimal cell clustering and clear visual representation of the cell populations.…”