The abundances of 13 immune-related cells. by Wenliang Yuan (7842908)

“…</p><p>Methods</p><p>Using machine learning algorithms, we identified and analyzed two immune subtypes (C1 and C2) in 244 LNM-negative CRC samples, with validation in 458 additional samples, and evaluated their immune characteristics and functional pathways.…”

Genetic mutation analysis of GSE39582 dataset. by Wenliang Yuan (7842908)

“…</p><p>Methods</p><p>Using machine learning algorithms, we identified and analyzed two immune subtypes (C1 and C2) in 244 LNM-negative CRC samples, with validation in 458 additional samples, and evaluated their immune characteristics and functional pathways.…”

ICI scores for each sample in TCGA and GSE39582. by Wenliang Yuan (7842908)

“…</p><p>Methods</p><p>Using machine learning algorithms, we identified and analyzed two immune subtypes (C1 and C2) in 244 LNM-negative CRC samples, with validation in 458 additional samples, and evaluated their immune characteristics and functional pathways.…”

Table 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Table 3_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

EXASCALE COMPUTING AND ITS IMPACT ON HIGH-PERFORMANCE COMPUTING by Jace Marden (22025762)

“…Possibilities are still not completely explored, exascale may result in a greater understanding of medical and materials science, more powerful algorithms for artificial intelligence (AI) and Machine Learning (ML), or the ability to create functional mimics of the human brain for neurological and possible cybernetic developments. …”

Table 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Image 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Table 4_Unraveling the role of histone acetylation in sepsis biomarker discovery.xlsx by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Image 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Table 5_Unraveling the role of histone acetylation in sepsis biomarker discovery.csv by Feng Cheng (124653)

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed, followed by machine learning algorithms (LASSO, SVM-RFE, and Boruta) to screen for potential biomarkers. …”

Data Sheet 1_Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma.zip by Yuanyuan Gu (3813658)

“…Ferroptosis-related differentially expressed genes (DEGs) were identified, and Weighted Gene Co-expression Network Analysis (WGCNA) was used to pinpoint disease-related genes. Four machine learning algorithms screened hub genes, validated by ROC curves. …”

Table 8_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Table 7_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Table 4_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Table 1_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Table 2_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Table 6_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Image 4_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”

Image 5_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg by Xueqing Zou (2144722)

“…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”