Discovertv.qiagenbioinformatics.comInvestigating biomarkers with bulk and single-cell RNA-seq expression data
Investigating biomarkers with bulk and single-cell RNA-seq expression data

Investigating biomarkers with bulk and single-cell RNA-seq expression data

Update: 2025-10-29
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Description

QIAGEN Ingenuity Pathway Analysis (IPA) is designed to help you analyze and compare different types of 'omics data. In this webinar, we’ll compare bulk RNA-seq and single-cell RNA-seq data to identify common regulators/targets and see how those regulators/targets associate with your phenotype of interest. We will also use sample-level public data to validate gene expression of common genes in tissues and/or cell type of interest.

You'll learn how to:

  • Generate a Comparison Analysis for bulk and single-cell RNA-seq

  • Identify significant common genes with the Compare feature

  • Build a custom network associating common genes to a phenotype

  • Examine sample- and cell-level expression in OmicSoft content

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Investigating biomarkers with bulk and single-cell RNA-seq expression data

Investigating biomarkers with bulk and single-cell RNA-seq expression data

tv.qiagenbioinformatics.com