Table 11_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Image 7_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Image 3_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Table 10_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

<b>Drug Release Nanoparticle Systems Design:</b><b>Dataset Compilation and Machine Learning Modeling</b> حسب Shan He (14524901)

"…Herein 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …"

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> حسب ahmed hossam (21420446)

"…</p><p dir="ltr">1.NanoNeuroBot is an AI-guided, ingestible nanobot pill engineered to cross the blood-brain barrier and deliver site-specific neuronal regeneration. The nanobot uses a PEGylated gold core and ligand-conjugated shell for targeted delivery, while a mobile application governs dosage and navigation via biosensor input and reinforcement learning algorithms. …"

Table 1_Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis.docx حسب Qiongbing Zheng (4741563)

"…Machine learning algorithms were used to identify hub genes, followed by immune infiltration analysis and gene set variation analysis (GSVA). …"

Data Sheet 1_Deep learning in microbiome analysis: a comprehensive review of neural network models.pdf حسب Piotr Przymus (10165658)

"…By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. …"

Data Sheet 2_Deep learning in microbiome analysis: a comprehensive review of neural network models.pdf حسب Piotr Przymus (10165658)

"…By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. …"

Data Sheet 1_Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma.zip حسب 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. …"

Turkish_native_goat_genotypes حسب Yalçın YAMAN (20209833)

"…</p><p dir="ltr">Nine heterogeneous machine-learning models—including penalised linear methods, gradient-boosting algorithms, and interaction-sensitive tree ensembles—were applied to examine genotype–phenotype relationships. …"

Data Sheet 1_Integrative multi-omics identifies MEIS3 as a diagnostic biomarker and immune modulator in hypertrophic cardiomyopathy.docx حسب Jinchen He (18929662)

"…</p>Methods<p>We performed bulk RNA sequencing on peripheral blood samples from clinically diagnosed HCM patients (n = 4) and matched healthy controls (n = 3), followed by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Machine learning algorithms (LASSO and Random Forest) were used to identify key diagnostic genes. …"

Table1_“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.xls حسب Peichuan Xu (19862055)

"…Differential gene expression analysis, PPI network, GO and KEGG pathway enrichment analysis, GSVA, co-expressed gene analysis and key gene-related networks were also performed to explore hub genes and their associated functions. Lastly, the differential expression and functions of key genes were validated through in vitro and in vivo experiments.…"

Image2_“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.jpeg حسب Peichuan Xu (19862055)

"…Differential gene expression analysis, PPI network, GO and KEGG pathway enrichment analysis, GSVA, co-expressed gene analysis and key gene-related networks were also performed to explore hub genes and their associated functions. Lastly, the differential expression and functions of key genes were validated through in vitro and in vivo experiments.…"

Image1_“Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.jpeg حسب Peichuan Xu (19862055)

"…Differential gene expression analysis, PPI network, GO and KEGG pathway enrichment analysis, GSVA, co-expressed gene analysis and key gene-related networks were also performed to explore hub genes and their associated functions. Lastly, the differential expression and functions of key genes were validated through in vitro and in vivo experiments.…"

Table 1_Bioinformatics revealed biomarkers for diagnosis in kidney stones.xls حسب 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 حسب 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. …"

Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

"…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …"

Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

"…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …"

Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

"…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …"