Search alternatives:
significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
set decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
set decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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<b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b>
Published 2025“…Moreover, changes in endocrine composition also occurred in mAAb+ donors, including a significant decrease in the INS+ islet fraction. These data suggest preferential loss of INS+ small endocrine objects early in type 1 diabetes development.…”
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Unsupervised clustering of TCGA-KIRC subjects based on glucocorticoid signaling-related genes.
Published 2025Subjects: -
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Minimal data set.
Published 2024“…Using the multiple scale method, we derive approximate analytical solutions for both the crystal interface growth rate and the solute concentration. …”
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Minimal data set.
Published 2025“…The acoustic emission waveforms exhibited a dual-peak characteristic throughout the entire charging and discharging cycles. We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”
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Significant gene set results from EGSEA.
Published 2024“…<p>The significant gene sets returned by EGSEA analysis of serum-deprived ARPE-19 cell differentially expressed genes. …”
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PTable S5 Markers of each cell cluster.
Published 2025“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”
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