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Showing 1 - 20 results of 36 for search '(( c cases increased ) OR ( n marked decrease ))~', query time: 0.49s Refine Results
  1. 1
    S1 Fig -

    S1 Fig - by Emilien Pousse (14664318)

    Published 2023
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  2. 2
    Case.

    Case. by Seungyoon Paik (14659575)

    Published 2023
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  3. 3
    Developmental changes in gene expression involved in lipid absorption.

    Developmental changes in gene expression involved in lipid absorption. by Yuki Honda (414507)

    Published 2022
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  4. 4
    Developmental changes in pancreatic enzyme gene expression.

    Developmental changes in pancreatic enzyme gene expression. by Yuki Honda (414507)

    Published 2022
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  5. 5
    Developmental changes in gene expression of lysosomal digestive enzymes.

    Developmental changes in gene expression of lysosomal digestive enzymes. by Yuki Honda (414507)

    Published 2022
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  6. 6
    Developmental changes in gene expression of amino acid transporters of putative apical locality.

    Developmental changes in gene expression of amino acid transporters of putative apical locality. by Yuki Honda (414507)

    Published 2022
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  7. 7
    Developmental changes in gene expression of amino acid transporters of unknown (other) locality.

    Developmental changes in gene expression of amino acid transporters of unknown (other) locality. by Yuki Honda (414507)

    Published 2022
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  8. 8
    Developmental changes in gene expression of amino acid transporters of putative basolateral locality.

    Developmental changes in gene expression of amino acid transporters of putative basolateral locality. by Yuki Honda (414507)

    Published 2022
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  9. 9
    Application of CKMR methods to infer intervention impact.

    Application of CKMR methods to infer intervention impact. by Yogita Sharma (523130)

    Published 2022
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  10. 10
    Novelty and familiarity is evident in both PNs and LNs.

    Novelty and familiarity is evident in both PNs and LNs. by Hong Lei (53686)

    Published 2022
    “…No significance was detected to solvent control (left two bars, mean ± S.E., p = 0.53, n = 115, paired-t test). The grey stars in (<b>C1</b>) and (<b>C2</b>) marks the median value, which was used to establish rough equivalence to the mean, as would be the case for a normal distribution needed for parametric tests. …”
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  11. 11
    The effect of uncertainty in patient classification on diagnostic performance estimations - Fig 8

    The effect of uncertainty in patient classification on diagnostic performance estimations - Fig 8 by Leo C. McHugh (6725777)

    Published 2019
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  12. 12
    Nonsevere Burn Induces a Prolonged Systemic Metabolic Phenotype Indicative of a Persistent Inflammatory Response Postinjury

    Nonsevere Burn Induces a Prolonged Systemic Metabolic Phenotype Indicative of a Persistent Inflammatory Response Postinjury by Monique J. Ryan (14676656)

    Published 2023
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  13. 13
    Image2_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image2_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  14. 14
    Image1_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image1_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  15. 15
    Table1_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.XLSX

    Table1_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.XLSX by Lyndsay E. A. Young (6329558)

    Published 2024
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  16. 16
    Image6_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image6_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  17. 17
    Image5_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image5_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  18. 18
    Image4_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image4_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  19. 19
    Image3_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF

    Image3_Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.TIFF by Lyndsay E. A. Young (6329558)

    Published 2024
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  20. 20
    Comparison of experimental and simulated pair cross-correlations.

    Comparison of experimental and simulated pair cross-correlations. by Julia Jäger (6690923)

    Published 2022
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