Showing 61 - 80 results of 21,655 for search '(( significant decrease based ) OR ( significant ((fold decrease) OR (nn decrease)) ))', query time: 1.32s Refine Results
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    Genes significantly affected by deletion of <i>ryfA</i>. by Hicham Bessaiah (6840980)

    Published 2021
    “…(<b>B</b>) Genes classified in different categories based on log2 fold-change difference. Genes upregulated (yellow rectangles) and downregulated (blue rectangles) by at least 1.7-fold were considered significant with P < 0.05. …”
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    Differentially expressed genes are targets of multiple dysregulated miRs in vulvar melanoma and maintain significant correlations in expression across samples. by Mallory J. DiVincenzo (11372420)

    Published 2023
    “…(B) mRNA transcripts with significantly decreased expression have inverse relative expression patterns with two or more upregulated miRs in vulvar melanoma relative to primary cutaneous melanoma. …”
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    Oxidative Nickel-Catalyzed <i>ortho</i>-C–H Amination of (Iso)quinolines with Alicyclic Amines Directed by a Sacrificial <i>N</i>‑Oxide Group by Weiqi Zhu (17845973)

    Published 2024
    “…Transition metal (TM)-catalyzed direct amination of C–H bonds on free or fused pyridine (Py) rings with free amines still remains scarce because amines and the Py ring tend to adopt a nonproductive N-bound coordination with many TMs, leading to a significant decrease of catalytic reactivity. We herein disclose a nickel-catalyzed and a sacrificial <i>N</i>-oxide group directed oxidative coupling of (iso)quinolyl C–H bonds and alicyclic amines, which furnishes bioimportant amino(iso)quinolines efficiently and selectively in a single step. …”
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    PCA-CGAN K-fold experiment table. by Chao Tang (10925)

    Published 2025
    “…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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    PCAECG-GAN K-fold experiment table. by Chao Tang (10925)

    Published 2025
    “…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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