DataSheet_1_M2 macrophage-related gene signature in chronic rhinosinusitis with nasal polyps.docx by Ying Zhu (90057)

“…</p>Methods<p>The expression datasets of GSE136825 and GSE179265 were download from Gene Expression Omnibus (GEO) database and merged. …”

Image2_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…</p><p>Methods: We recruited expression and pathological files of 368 HCC patients from The Cancer Genome Atlas cohort. Four public datasets serve as external authentication sets for nearest template prediction (NTP) validation. …”

Data Sheet 1_EFTUD2 is a promising diagnostic and prognostic indicator involved in the tumor immune microenvironment and glycolysis of lung adenocarcinoma.docx by Ankang Yin (20970515)

“…</p>Methods<p>EFTUD2 expression in LUAD tissues was analyzed using data from TCGA and GEO, and validated by immunohistochemistry, RT-qPCR, and Western blotting. …”

DataSheet1_Identifying target ion channel-related genes to construct a diagnosis model for insulinoma.ZIP by Shuangyang Mo (14859565)

“…Based on multiple bioinformatics methods and machine learning algorithms, this study proposed exploring the molecular mechanism from ion channel-related genes to establish a genetic diagnosis model for insulinoma.…”

Table_1_Selection of Reference Genes for RT-qPCR Analysis Under Intrinsic Conditions in the Hawthorn Spider Mite, Amphitetranychus viennensis (Acarina: Tetranychidae).docx by Jing Yang (13969)

“…Information present here lays the foundation for the genomic and functional genomic research in cell-content feeding arthropods in general and A. viennensis in particular.…”

Table 3_SZBC-AI4TCM: a comprehensive web-based computing platform for traditional Chinese medicine research and development.xlsx by Jidong Lang (802830)

“…</p>Methods<p>We developed a comprehensive web-based computing platform, SZBC-AI4TCM, a comprehensive web-based computing platform for traditional Chinese medicine that embodies the “ShuZhiBenCao” (Digital Herbal) concept through artificial intelligence, designed to accelerate TCM research and reduce costs by integrating advanced AI algorithms and bioinformatics tools.</p>Results<p>Leveraging machine learning, deep learning, and big data analytics, the platform enables end-to-end analysis, from TCM formulation and mechanism elucidation to drug screening. …”

Data Sheet 1_Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods.docx by Ankita Lawarde (16544943)

“…Ensemble ML algorithms were trained and validated with stratified five-fold cross-validation for robust performance assessment across class distributions.…”

Table_2_A signature-based classification of lung adenocarcinoma that stratifies tumor immunity.xlsx by Xun Zhang (113378)

“…</p>Materials and methods<p>First, the single-sample Gene Set Enrichment Analysis (ssGSEA) and K-means algorithms were used to identify immune-based subtypes for the LUAD cohort based on the immunogenomic profiling of 29 immune signatures from The Cancer Genome Atlas (TCGA) database (n = 504). …”

Image 2_Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.tif by Zuhui Pu (10931751)

“…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …”

Image_1_Selection of Reference Genes for RT-qPCR Analysis Under Intrinsic Conditions in the Hawthorn Spider Mite, Amphitetranychus viennensis (Acarina: Tetranychidae).pdf by Jing Yang (13969)

“…Information present here lays the foundation for the genomic and functional genomic research in cell-content feeding arthropods in general and A. viennensis in particular.…”

Table6_Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data.xlsx by Erli Wu (17785482)

“…Subsequently, consensus clustering analysis was performed to identify ICD-associated subtypes, and multiple bioinformatics algorithms were used to investigate differences in immune cells and pathways between subtypes. …”

Image2_Identification of RNA N6-methyladenosine regulation in epilepsy: Significance of the cell death mode, glycometabolism, and drug reactivity.TIF by Xuchen Liu (13258842)

“…<p>Epilepsy, a functional disease caused by abnormal discharge of neurons, has attracted the attention of neurologists due to its complex characteristics. …”

Table2_Identification of RNA N6-methyladenosine regulation in epilepsy: Significance of the cell death mode, glycometabolism, and drug reactivity.XLSX by Xuchen Liu (13258842)

“…<p>Epilepsy, a functional disease caused by abnormal discharge of neurons, has attracted the attention of neurologists due to its complex characteristics. …”

Table5_Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data.xlsx by Erli Wu (17785482)

“…Subsequently, consensus clustering analysis was performed to identify ICD-associated subtypes, and multiple bioinformatics algorithms were used to investigate differences in immune cells and pathways between subtypes. …”

Table2_Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data.docx by Erli Wu (17785482)

“…Subsequently, consensus clustering analysis was performed to identify ICD-associated subtypes, and multiple bioinformatics algorithms were used to investigate differences in immune cells and pathways between subtypes. …”

DataSheet2_Identifying target ion channel-related genes to construct a diagnosis model for insulinoma.ZIP by Shuangyang Mo (14859565)

“…Based on multiple bioinformatics methods and machine learning algorithms, this study proposed exploring the molecular mechanism from ion channel-related genes to establish a genetic diagnosis model for insulinoma.…”

Table 1_Integrating bioinformatics and machine learning analyses to identify immune-related secretory proteins and therapeutic small-molecule drugs in calcific aortic valve disease... by Xiang Zhang (19800)

“…A diagnostic model was constructed using 113 machine learning algorithms, and immune infiltration analysis was performed using CIBERSORT. …”

Presentation_1_Systems and computational analysis of gene expression datasets reveals GRB-2 suppression as an acute immunomodulatory response against enteric infections in endemic... by Akshayata Naidu (14025923)

“…On further exploration, we found STAT3 to be instrumental in designating T-cell functions upon early responses to enteric infections in endemic settings.…”

Table1_Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data.docx by Erli Wu (17785482)

“…Subsequently, consensus clustering analysis was performed to identify ICD-associated subtypes, and multiple bioinformatics algorithms were used to investigate differences in immune cells and pathways between subtypes. …”

Image4_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…</p><p>Methods: We recruited expression and pathological files of 368 HCC patients from The Cancer Genome Atlas cohort. Four public datasets serve as external authentication sets for nearest template prediction (NTP) validation. …”