Showing 148,041 - 148,060 results of 227,879 for search '(( 10 ((we decrease) OR (((nn decrease) OR (a decrease)))) ) OR ( 5 ng decrease ))', query time: 2.03s Refine Results
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  14. 148054

    FXR1P is expressed in neurons of the developing hippocampus. by Denise Cook (201666)

    Published 2011
    “…</b> FXR1P (isoforms c, d) expression across postnatal development was quantified and normalized against GAPDH expression. FXR1P levels decreased relative to GAPDH. <b>C.</b> We immunostained cryostat sections prepared from a P14 mouse with #ML13 and imaged the hippocampus at 10X (left panel). …”
  15. 148055

    Image_3_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.TIF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”
  16. 148056

    Data_Sheet_1_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.PDF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”
  17. 148057

    Image_1_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.TIF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”
  18. 148058

    Image_4_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.TIFF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”
  19. 148059

    Image_2_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.TIF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”
  20. 148060

    Data_Sheet_2_Non-parametric Heat Map Representation of Flow Cytometry Data: Identifying Cellular Changes Associated With Genetic Immunodeficiency Disorders.PDF by Julia I. Ellyard (7369643)

    Published 2019
    “…Discerning changes in multiple subpopulations is challenging, and subtle trends might be missed if traditional reference ranges derived from a control population are applied. We developed an algorithm where centiles were allocated using non-parametric comparison to controls, generating multiparameter heat maps to simultaneously represent all leukocyte subpopulations for inspection of trends within a cohort or segregation with a putative genetic mutation. …”