Table 3_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.docx by 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 7_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx by 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 6_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg by 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 1_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx by 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 2_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.docx by 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 8_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx by 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 6_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx by 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 by 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 by 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 11_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv by 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 by 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 by 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 by 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. …”

Bayesian Calibration of the 40K Decay Scheme and its implications for 40K-based geochronology by John Carter (14649908)

“…This data is full reduced and defines the interference corrections used and methodology of the mass discrimination.</p><p dir="ltr">Final_Bayes_Input_Data.xlsx is an excel file with all input data into the model. …”

DataSheet1_A novel hypoxia- and lactate metabolism-related prognostic signature to characterize the immune landscape and predict immunotherapy response in osteosarcoma.docx by Yizhuo Wang (5132726)

“…The tumor microenvironment was evaluated using ESTIMATE, CIBERSORT, and ImmuCellAI analyses. …”

Data Sheet 1_TGM2 regulated by transcription factor NR3C1 drives p38 MAPK-mediated tumor progression and immune evasion in lung squamous cell carcinoma.zip by Chunlong Lin (18931437)

“…</p>Methods<p>The prognostic value of TGM2 was analyzed using the TCGA LUSC cohort. Key genes were screened via random forest algorithm. …”

Image 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.tif by Can Qi (540350)

“…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …”

Table 3_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx by Can Qi (540350)

“…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …”

Table 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx by Can Qi (540350)

“…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …”

Table 2_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx by Can Qi (540350)

“…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …”