Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), i function (Expand Search)
Showing 821 - 840 results of 1,458 for search '(( algorithm flow function ) OR ((( algorithm python function ) OR ( algorithm b function ))))', query time: 0.40s Refine Results
  1. 821
    Gene expression omnibus datasets.

    Gene expression omnibus datasets. by Xinyi Xia (7516694)

    Published 2024
    “…Hub gene expression was verified, and survival analysis was performed using Kaplan–Meier curves. <b>Results:</b> IRI and TCMR shared 84 genes. Functional enrichment analysis revealed that inflammation played a significant role. …”
    Save to List
    Saved in:
  2. 822
    Image 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.jpeg

    Image 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.jpeg by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  3. 823
    Table 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.docx

    Table 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.docx by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  4. 824
    Bayesian Clustering via Fusing of Localized Densities

    Bayesian Clustering via Fusing of Localized Densities by Alexander Dombowsky (20289372)

    Published 2024
    Save to List
    Saved in:
  5. 825
    Schematic representation of the relationship between expected profits of the retailer and supplier.

    Schematic representation of the relationship between expected profits of the retailer and supplier. by Minchao Zheng (20558832)

    Published 2025
    Save to List
    Saved in:
  6. 826
    Order quantity and profit of the supply chain under different unit disposal costs.

    Order quantity and profit of the supply chain under different unit disposal costs. by Minchao Zheng (20558832)

    Published 2025
    Save to List
    Saved in:
  7. 827
    The order quantity and profit of the supply chain under different unit production costs.

    The order quantity and profit of the supply chain under different unit production costs. by Minchao Zheng (20558832)

    Published 2025
    Save to List
    Saved in:
  8. 828
    The optimal order quantity and the wholesale price under different <i>ϕ</i>.

    The optimal order quantity and the wholesale price under different <i>ϕ</i>. by Minchao Zheng (20558832)

    Published 2025
    Save to List
    Saved in:
  9. 829
    Data Sheet 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.docx

    Data Sheet 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.docx by Yifan Wang (380120)

    Published 2025
    “…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. Functional analyses demonstrated mutation-specific pathobiological crosstalk: 1) SF3B1-mediated mitochondrial iron mislocalization (ALAS2 splicing defects, ABCB7 downregulation) synergized with ASXL1-driven epigenetic repression of erythroid transcription factors (GATA1, KLF1), exacerbating anemia; 2) JAK2 p.R683G’s partial kinase activation combined with CBL-dependent RAS/MAPK signaling sustained thrombocytosis through megakaryocytic hyperplasia. …”
    Save to List
    Saved in:
  10. 830
    Table 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.xlsx

    Table 1_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.xlsx by Yifan Wang (380120)

    Published 2025
    “…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. Functional analyses demonstrated mutation-specific pathobiological crosstalk: 1) SF3B1-mediated mitochondrial iron mislocalization (ALAS2 splicing defects, ABCB7 downregulation) synergized with ASXL1-driven epigenetic repression of erythroid transcription factors (GATA1, KLF1), exacerbating anemia; 2) JAK2 p.R683G’s partial kinase activation combined with CBL-dependent RAS/MAPK signaling sustained thrombocytosis through megakaryocytic hyperplasia. …”
    Save to List
    Saved in:
  11. 831
    Data Sheet 2_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.pdf

    Data Sheet 2_Case Report: Myelodysplastic/myeloproliferative neoplasm with concurrent SF3B1, ASXL1, JAK2 and CBL mutations and <15% bone marrow ringed sideroblasts.pdf by Yifan Wang (380120)

    Published 2025
    “…Comprehensive genomic profiling revealed a unique quadruple mutation signature: ASXL1 p.G646Wfs*12 (9.8% VAF), JAK2 p.R683G (17.5%), and CBL p.R149Q (16.2%), with preserved karyotype. Functional analyses demonstrated mutation-specific pathobiological crosstalk: 1) SF3B1-mediated mitochondrial iron mislocalization (ALAS2 splicing defects, ABCB7 downregulation) synergized with ASXL1-driven epigenetic repression of erythroid transcription factors (GATA1, KLF1), exacerbating anemia; 2) JAK2 p.R683G’s partial kinase activation combined with CBL-dependent RAS/MAPK signaling sustained thrombocytosis through megakaryocytic hyperplasia. …”
    Save to List
    Saved in:
  12. 832
    IOWarp v1.0 Beta: Advancing Scientific AI with Intelligent Data Management & MCP Integration

    IOWarp v1.0 Beta: Advancing Scientific AI with Intelligent Data Management & MCP Integration by Anthony Kougkas (17069216)

    Published 2025
    Save to List
    Saved in:
  13. 833
    Gated Feedforward Network (GDFN) Structure.

    Gated Feedforward Network (GDFN) Structure. by Xuanming Wang (22184274)

    Published 2025
    “…By labeling image edges and noise, and utilizing neighborhood based wavelet coefficient shrinkage algorithm, the noise interference in the image is effectively reduced; preliminary enhancement was performed on the denoised image, using Retinex algorithm combined with bilateral filtering method to estimate illuminance, and Sigmoid function was used to enhance the reflection area, improving the overall visual effect of the image. …”
    Save to List
    Saved in:
  14. 834
    Pixel perception module structure.

    Pixel perception module structure. by Xuanming Wang (22184274)

    Published 2025
    “…By labeling image edges and noise, and utilizing neighborhood based wavelet coefficient shrinkage algorithm, the noise interference in the image is effectively reduced; preliminary enhancement was performed on the denoised image, using Retinex algorithm combined with bilateral filtering method to estimate illuminance, and Sigmoid function was used to enhance the reflection area, improving the overall visual effect of the image. …”
    Save to List
    Saved in:
  15. 835
    Infrared night vision image test sample.

    Infrared night vision image test sample. by Xuanming Wang (22184274)

    Published 2025
    “…By labeling image edges and noise, and utilizing neighborhood based wavelet coefficient shrinkage algorithm, the noise interference in the image is effectively reduced; preliminary enhancement was performed on the denoised image, using Retinex algorithm combined with bilateral filtering method to estimate illuminance, and Sigmoid function was used to enhance the reflection area, improving the overall visual effect of the image. …”
    Save to List
    Saved in:
  16. 836
    Data Sheet 4_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip

    Data Sheet 4_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  17. 837
    Data Sheet 3_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip

    Data Sheet 3_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  18. 838
    Data Sheet 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip

    Data Sheet 1_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  19. 839
    Data Sheet 6_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip

    Data Sheet 6_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:
  20. 840
    Data Sheet 7_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip

    Data Sheet 7_Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer.zip by Rui Wang (52434)

    Published 2025
    “…However, the prognostic and functional contributions of distinct CAF subtypes remain inadequately understood. …”
    Save to List
    Saved in:

Search Tools: