Table1_Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning.XLS by Yuqiao Ji (16327326)

“…Then, differentially expressed genes (DEGs) were identified by limma and potential biological functions and downstream pathways enrichment analysis of DEGs was performed. …”

Table3_Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning.XLSX by Yuqiao Ji (16327326)

“…Then, differentially expressed genes (DEGs) were identified by limma and potential biological functions and downstream pathways enrichment analysis of DEGs was performed. …”

DataSheet_1_Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features.docx by Yan-Jen Chen (12433350)

“…Objectives<p>A subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. …”

Table_1_Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features.xlsx by Yan-Jen Chen (12433350)

“…Objectives<p>A subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. …”

DataSheet_1_Proteomic and phosphorylated proteomic landscape of injured lung in juvenile septic rats with therapeutic application of umbilical cord mesenchymal stem cells.doc by Hongwu Wang (391376)

“…Based on the public database, we analyzed the functional enrichment of these proteins and phosphorylated proteins. …”

DataSheet_2_Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features.docx by Yan-Jen Chen (12433350)

“…Objectives<p>A subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. …”

IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems by Xuhui Lin (19505503)

“…IUTF Dataset: A Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems<h2>Description</h2><p dir="ltr">The Integrated Urban Traffic-Flood (IUTF) dataset is a comprehensive, open-access resource that addresses a critical gap in urban transportation and climate resilience research. …”

Image_5_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Identification of potential circadian rhythm-related hub genes and immune infiltration in preeclampsia through bioinformatics analysis by Juan Tang (437969)

“…<p>Preeclampsia (PE) is a severe pregnancy complication with unclear molecular mechanisms. …”

Table 1_Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorecta... by Tianle Xue (21462608)

“…Background<p>Ulcerative colitis (UC) is a chronic inflammatory condition that predisposes patients to colorectal cancer (CRC) through mechanisms that remain largely undefined. …”

Image_7_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Image_6_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

DataSheet_1_Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning.do... by Yufei Zhou (5348258)

“…Identification of differentially expressed genes (DEGs) and module gene via Limma and weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, protein–protein interaction (PPI) network construction, and machine learning algorithms (least absolute shrinkage and selection operator (LASSO) regression and random forest) were used to identify candidate immune-associated hub genes for diagnosing AVC with MS. …”

Table_1_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.xls by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Image_3_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Table 2_Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorecta... by Tianle Xue (21462608)

“…Background<p>Ulcerative colitis (UC) is a chronic inflammatory condition that predisposes patients to colorectal cancer (CRC) through mechanisms that remain largely undefined. …”

Image_4_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Image_2_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Image_1_Malignant Tumor Purity Reveals the Driven and Prognostic Role of CD3E in Low-Grade Glioma Microenvironment.tif by Xiuqin Lu (11401169)

“…Hub genes involved in LGG purity were then identified and functionally annotated using bioinformatics analyses. …”

Table 3_Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorecta... by Tianle Xue (21462608)

“…Background<p>Ulcerative colitis (UC) is a chronic inflammatory condition that predisposes patients to colorectal cancer (CRC) through mechanisms that remain largely undefined. …”