Showing 761 - 780 results of 789 for search '(( algorithm python function ) OR ((( algorithm spread function ) OR ( algorithm pca function ))))', query time: 0.57s Refine Results
  1. 761

    presentation1_ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.pdf by Paola Turina (10431428)

    Published 2021
    “…The results show that ThermoScan returns accurate predictions and outperforms recently developed text-mining algorithms based on the analysis of publication abstracts.…”
  2. 762

    PresQT - Services to Improve Re-use and FAIRness of Research Data and Software by Sandra Gesing (4501198)

    Published 2021
    “…PresQT services are easily integratable and target systems can be added via extending JSON files and Python functions. Data is packaged as BagITs for uploads, downloads and transfers. …”
  3. 763

    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. …”
  4. 764

    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. …”
  5. 765

    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. …”
  6. 766

    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. …”
  7. 767

    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. …”
  8. 768

    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. …”
  9. 769

    <b>A virtual tracer experiment to assess the temporal origin of root water uptake, evaporation, and </b><b>drainage</b> by Paolo Nasta (19710883)

    Published 2024
    “…<p dir="ltr">The temporal origin of drainage, evaporation, and root water uptake (RWU) are indicators of ecosystem functioning that shed light on how natural and anthropogenic disturbances affect plant resilience and aquifer vulnerability. …”
  10. 770

    Skeletal_ Muscle_MRI_Registration by Lucia Fontana (9435020)

    Published 2020
    “…</p> <p>wxPython library was employed to develop the GUI, which is composed by two main windows – initial window and registration window – and 5 secondary frames for support functionalities. 3D images are presented with three views – axial, coronal and sagittal – with three sliders to adjust maximum value, minimum value, and gamma correction.…”
  11. 771

    DataSheet_1_Identification of cuproptosis -related subtypes, the development of a prognosis model, and characterization of tumor microenvironment infiltration in prostate cancer.zi... by Liang Jin (316008)

    Published 2022
    “…These findings highlight the crucial clinical implications of CRGScore and provide new ideas for guiding personalized immunotherapy strategies for patients with Pca.</p>…”
  12. 772

    A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images by Shuyu Li (18401358)

    Published 2024
    “…</p><p dir="ltr">The dataset is freely accessible on IEEE DataPort, a data repository created by IEEE and can be found at the following URL: <a href="https://ieeexplore.ieee.org/document/10218394/algorithms?tabFilter=dataset" target="_blank">https://ieeexplore.ieee.org/document/10218394/algorithms?…”
  13. 773

    Table 1_Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma.docx by Xiang Xiong (1810234)

    Published 2025
    “…Principal Component Analysis (PCA) was performed to investigate the distribution of LUAD patients across high- and low-risk groups. …”
  14. 774

    Image3_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  15. 775

    Image5_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  16. 776

    Image1_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  17. 777

    Image6_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  18. 778

    Image2_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  19. 779

    Image4_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

    Published 2022
    “…The m6Ascore model was established by principal component analysis (PCA). Prediction of immunotherapy and potential drugs was performed using TIDE and SubMap.…”
  20. 780

    Data_Sheet_4_Identification of a Three-Glycolysis-Related lncRNA Signature Correlated With Prognosis and Metastasis in Clear Cell Renal Cell Carcinoma.xlsx by Tinghao Li (10507577)

    Published 2022
    “…Functional enrichment analysis demonstrated potential pathways and processes correlated with the risk model. …”