DataSheet2_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

DataSheet2_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

DataSheet1_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

DataSheet1_Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.PDF by D. S. Bug (19791612)

Data Sheet 1_Multi-transcriptomics analysis of ferroptosis related genes reveals CAFs exosomal COX4I2 as a novel therapeutic target in osteosarcoma.docx by Xiaoying Niu (8747229)

“…We identified hub genes via machine learning algorithms (SVM, RF, XGBoost, BORUTA) and single-cell RNA sequencing. …”

Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS events by Sen Lin (182597)

“…Disproportionality analysis and subgroup analysis were performed using four algorithms. Time-to-onset (TTO) analysis was used to assess the temporal risk patterns of ADE occurrence. …”

Data Sheet 1_Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer.zip by Yumin Ke (14194880)

“…To identify differentially immune-related genes (DIRGs) linked to OCCC. We assessed DIRGs functional enrichment and built a protein-protein interaction (PPI) to explore DIRGs interactions. …”

Supplementary file 1_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.pdf by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 11_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 10_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Data Sheet 6_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Table 12_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Data Sheet 8_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Table 14_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 9_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 13_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Image 1_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.tif by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Table 5_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Data Sheet 7_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Table 2_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”