Table 6_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx حسب Jiafeng Peng (22116253)

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

Table 9_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx حسب Jiafeng Peng (22116253)

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

Image 5_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

Data Sheet 1_Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer.docx حسب Sichao Wang (2098546)

"…The association between SMYD2 and the tumor immune microenvironment in GC was evaluated using CIBERSORT, ESTIMATE, and TIDE algorithms. Functional characterization of SMYD2 was performed via SMYD2 knockdown in GC cells.…"

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

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

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

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

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

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

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

"…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …"

Data Sheet 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.pdf حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Table 4_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Table 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Data Sheet 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.pdf حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Supplementary file 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Table 1_ENO1-related gene signature predicts prognosis and therapeutic response in diffuse large B-cell lymphoma.docx حسب Wenli Yan (9235217)

"…Here, we integrated multi-omics profiling (RIP-seq, RNA-seq, and protein interactome analysis) to identify ERGs and established a prognostic model by machine learning algorithms.</p>Methods<p>We identified eleven hub genes (CHERP, SYNE2, INTS1, FAP, MMP9, LRP5, RBM8A, PRMT5, SLC25A6, PABPC4, PSTPIP2) using RNA sequencing, RNA immunoprecipitation sequencing, and protein interaction profiling. …"

Table 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Supplementary file 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Table 3_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Key hub genes were screened using multiple machine learning(ML) algorithms. Their predictive potential was subsequently validated using independent datasets, and their association with immune cell infiltration was assessed. …"

Data Sheet 1_Association of microtubule-based processes gene expression with immune microenvironment and its predictive value for drug response in oestrogen receptor-positive breas... حسب Zhenfeng Huang (836949)

"…Prognostic risk models were developed via random forest, support vector machines and the least absolute shrinkage and selection operator algorithm. …"

Table 1_A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.docx حسب Panying Rong (2697181)

"…To evaluate the utility of the muscle network as a bulbar measurement tool, a heterogenous ALS cohort, consisting of eight individuals with overt clinical bulbar symptoms and seven without, along with 10 neurologically healthy controls, was employed to train and validate statistical and machine learning algorithms to assess the disease effects on the network features and the relation of the network performance to the current clinical diagnostic standard and behavioral patterns of bulbar involvement.…"

Data Sheet 1_Identification of key genes and immune infiltration mechanisms in limb ischemia-reperfusion injury: a bioinformatics and experimental study.docx حسب Qiyun Shi (5531150)

"…Random forest, LASSO regression, algorithms identified feature genes, validated in a rat limb IRI model using RT-qPCR, and histology. …"