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Showing 1 - 20 results of 21 for search '(( significant concern decrease ) OR ( significantly ((better decrease) OR (greater decrease)) ))~', query time: 0.47s Refine Results
  1. 1
    Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  2. 2
    Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg

    Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  3. 3
    Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  4. 4
    Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg

    Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  5. 5
    Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  6. 6
    Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  7. 7
    Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  8. 8
    Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  9. 9
    Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg

    Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  10. 10
    Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg

    Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  11. 11
    Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  12. 12
    Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  13. 13
    Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx

    Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  14. 14
    Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg

    Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
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  15. 15
    Table 6_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 6_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  16. 16
    Table 2_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 2_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  17. 17
    Table 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  18. 18
    Table 3_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 3_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  19. 19
    Image 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.pdf

    Image 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.pdf by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  20. 20
    Table 5_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 5_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
    Save to List
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