This dataset contains synthetic multi-omics data generated using the InterSIM R package. The simulations produce three omics layers, gene expression, DNA methylation, and protein expression, with clus

Zenodo2026-02-01 更新60

Identification of microRNA-dependent gene regulatory networks driving human pancreatic endocrine cell differentiation. Identification of microRNA-dependent gene regulatory networks driving human pancreatic endocrine cell differentiation

胰腺内分泌细胞

microRNA调控网络

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem50

MicroRNA-module pairs with strongest negative correlations and significant (FDR<0.05) enrichment of the module in predicted microRNA targets.

microRNA调控网络

基因富集分析

MicroRNA-module pairs with strongest negative correlations and significant (FDR

Figshare2018-01-12 更新40

Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer. Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer

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Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer. Integrated analysis reveals microRNA networks coordinately expressed with key proteins in breast cancer

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