Data Sheet 1_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.csv by Liu Haoming (22524473)

“…Top-ranked t00043332 was functionally validated in A549/PC9 cells.</p>Results<p>Ten mtRNAs distinguished cancer from normal tissues. …”

Image 1_Construction of a diagnostic model and identification of effect genes for diabetic kidney disease with concurrent vascular calcification based on bioinformatics and multipl... by Lili Huang (125493)

“…Immune infiltration analysis revealed that in DKD patients, the expression levels of Memory B Cells, CD8⁺ T cells, M1 macrophages, M2 macrophages, resting dendritic cells, and resting mast cells were increased. …”

Table 2_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

“…Immune profiling revealed elevated CD4⁺ T cells, macrophages, and dendritic cells in LUAD. …”

Table 1_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

“…Immune profiling revealed elevated CD4⁺ T cells, macrophages, and dendritic cells in LUAD. …”

Supplementary file 1_Comprehensive analysis of phagocytosis regulatory genes in bladder cancer: implications for prognosis and immunotherapy.xlsx by Xueming Ma (2119150)

“…</p>Methods<p>Multi-omics data from the TCGA and GEO databases were integrated, and strict data preprocessing was carried out. A variety of algorithms and analysis techniques, such as Kaplan-Meier analysis, Cox regression analysis, and ConsensusClusterPlus clustering analysis, were used to identify PRGs related to the prognosis of bladder cancer patients, and functional analysis and clustering analysis were conducted in depth. …”

Table 1_Identification and validation of key biomarkers of the glycolysis-ketone body metabolism in heart failure based on multi-omics and machine learning.xlsx by Na Xiao (327834)

“…Candidate genes were refined using machine learning algorithms (LASSO regression and Boruta), with functional enrichment assessed via Gene Set Enrichment Analysis (GSEA). …”

Image 1_Identification and validation of key biomarkers of the glycolysis-ketone body metabolism in heart failure based on multi-omics and machine learning.pdf by Na Xiao (327834)

“…Candidate genes were refined using machine learning algorithms (LASSO regression and Boruta), with functional enrichment assessed via Gene Set Enrichment Analysis (GSEA). …”

Table 1_Bioinformatics revealed biomarkers for diagnosis in kidney stones.xls by Ziqi He (2507899)

“…Following this, among the 8 DE-FRGs, LASSO and SVM-RFE algorithms chose FZD7, STK11, SUV39H1, and LCN2 as marker genes with suitable diagnostic capabilities. …”

Table 2_Bioinformatics revealed biomarkers for diagnosis in kidney stones.xlsx by Ziqi He (2507899)

“…Following this, among the 8 DE-FRGs, LASSO and SVM-RFE algorithms chose FZD7, STK11, SUV39H1, and LCN2 as marker genes with suitable diagnostic capabilities. …”

Table 1_Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma.docx by Ningning Yuan (4231858)

“…A comprehensive machine learning framework integrating 101 algorithms was applied to construct a glycosyltransferase-based prognostic signature. …”

Image 3_Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma.jpeg by Ningning Yuan (4231858)

“…A comprehensive machine learning framework integrating 101 algorithms was applied to construct a glycosyltransferase-based prognostic signature. …”

Image 1_Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma.jpeg by Ningning Yuan (4231858)

“…A comprehensive machine learning framework integrating 101 algorithms was applied to construct a glycosyltransferase-based prognostic signature. …”

Image 2_Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma.jpeg by Ningning Yuan (4231858)

“…A comprehensive machine learning framework integrating 101 algorithms was applied to construct a glycosyltransferase-based prognostic signature. …”

Supplementary Material for: FCGR3A Drives Innate Immune Activation via M1 Macrophage Polarization in Pediatric IBD by figshare admin karger (2628495)

“…In vitro, FCGR3A was upregulated in LPS-induced epithelial cells, and its knockdown inhibited M1 macrophage polarization. …”

Patentability of 3D bioprinting technologies by Phoebe Li (4463947)

“…Below are the relevant issues to consider:</p><p dir="ltr">(1) The <i>morality</i> exclusion when using human embryonic stem cells for the bioink culture.</p><p dir="ltr">(2) The hurdle of patenting software or algorithms for printing will be assessed via the technical contribution and the problem/solution approach.…”

Image 1_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.jpeg by Ruoya Wang (842048)

“…PMRGs were abundantly expressed in tumor cells, with 12 survival-related genes being selected. …”

Image 2_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.jpeg by Ruoya Wang (842048)

“…PMRGs were abundantly expressed in tumor cells, with 12 survival-related genes being selected. …”

Table 1_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.xlsx by Ruoya Wang (842048)

“…PMRGs were abundantly expressed in tumor cells, with 12 survival-related genes being selected. …”

Image 3_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.jpeg by Ruoya Wang (842048)

“…PMRGs were abundantly expressed in tumor cells, with 12 survival-related genes being selected. …”

Table 2_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.xlsx by Ruoya Wang (842048)

“…PMRGs were abundantly expressed in tumor cells, with 12 survival-related genes being selected. …”