GSE159220: Search for a novel diagnostic marker for liver cancer.

Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
HCC Tissue
GSM4823246 GSM4823247 GSM4823248
GSM4823249 GSM4823250 GSM4823251
Description

Submission Date: Oct 08, 2020

Summary: Analysis of the circular RNA expression profiles of tumor and normal tissue samples from Hepatocellular carcinoma (HCC).Find potential circular RNA to serve as diagnostic marker for liver cancer.

GEO Accession ID: GSE159220

PMID: 35068348

Description

Submission Date: Oct 08, 2020

Summary: Analysis of the circular RNA expression profiles of tumor and normal tissue samples from Hepatocellular carcinoma (HCC).Find potential circular RNA to serve as diagnostic marker for liver cancer.

GEO Accession ID: GSE159220

PMID: 35068348

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.