Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks

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Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks

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Uncovering robust patterns of ...... ng Bayesian Relevance Networks

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Uncovering robust patterns of ...... ng Bayesian Relevance Networks

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Uncovering robust patterns of ...... ng Bayesian Relevance Networks

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P1476

Uncovering robust patterns of ...... ng Bayesian Relevance Networks

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P2093

Daniel Sánchez-Taltavull

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Parameswaran Ramachandran

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P2860

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles

WGCNA: an R package for weighted correlation network analysis

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes

The Cancer Genome Atlas Pan-Cancer analysis project

Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression

FoxA1 translates epigenetic signatures into enhancer-driven lineage-specific transcription

miRBase: tools for microRNA genomics

Quantifying the relationship between co-expression, co-regulation and gene function

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e0183103

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scholarly article

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10.1371/JOURNAL.PONE.0183103

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English

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P478

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Theodore J Perkins

P577

2017-08-17T00:00:00Z

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28817636

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5560700

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