Showing 741 - 760 results of 823 for search '(( algorithm python function ) OR ((( algorithm pre function ) OR ( algorithm etc function ))))', query time: 0.32s Refine Results
  1. 741

    Table_2_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.xls by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  2. 742

    Image_2_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  3. 743

    Image_4_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  4. 744

    Image_3_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  5. 745

    Table_1_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.docx by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  6. 746

    Image_1_Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis.tif by Yu Xia (8822)

    Published 2022
    “…Several bioinformatics algorithms (PCA, RLE, Limma, BC, MCC, etc.) were adopted to integrate the results. …”
  7. 747

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

    Published 2024
    “…Herein 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …”
  8. 748

    Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation by A. Kumar (664258)

    Published 2021
    “…We performed a comparative study to predict PCE using two target functions (TF<sub>1</sub> without IIC and TF<sub>2</sub> with IIC). …”
  9. 749

    DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning by Nitin Wankhade (17147465)

    Published 2023
    “…<p>Adrenergic α2a (ADRA2A) receptors play a crucial role in modulating various physiological actions, thereby influencing the proper functioning of different systems in the body. ADRA2A regulation is associated with a wide range of effects, including alterations in blood pressure, hypertension, heightened heart rate, etc. …”
  10. 750

    Dataset_Randomized Controlled Trial: Effect of isokinetic eccentric resistance training on strength, flexibility and muscle structure for the shoulder external rotator cuff muscles... by Sebastian Vetter (16670310)

    Published 2023
    “…Five days before and after the last training session, functional and structural parameters were examined for the dominant throwing shoulder using mDTI and an isokinetic dynamometer as described below. …”
  11. 751

    DataSheet_7_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  12. 752

    DataSheet_6_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  13. 753

    DataSheet_5_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  14. 754

    DataSheet_8_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  15. 755

    DataSheet_4_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  16. 756

    Image_1_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.pdf by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  17. 757

    DataSheet_1_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  18. 758

    DataSheet_3_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”
  19. 759

    Data_Sheet_1_EEG phase synchronization during absence seizures.pdf by Pawel Glaba (11040603)

    Published 2023
    “…All the absence detection algorithms proposed so far have been derived from the properties of individual SWDs. …”
  20. 760

    DataSheet_2_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

    Published 2022
    “…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. …”