deTS (version 1.0)

tsea.plot: Tissue-specific enrichment analysis result heatmap plot

Description

Heat map plot for tissue-specific enrichment analysis result.

Usage

tsea.plot(tsea_result, threshold = 0.05)

Arguments

tsea_result

the result of tissue-specific enrichment analysis, which produced by "tsea.analysis", "tsea.analysis.multiple" or "tsea.expression.decode".

threshold

the p-value threshold to define if the gene list or RNA-seq data enriched in a given tissue, p-value greater than threshold will not be labeled in the plot. The default value is 0.05.

Value

Heatmap plot

Details

Heat map plot for tissue-specific enrichment analysis result

References

Pei G., Dai Y., Zhao Z., Jia P. (2019) deTS: Tissue-Specific Enrichment Analysis to decode tissue specificity. Bioinformatics, In submission.

See Also

https://github.com/bsml320/deTS

Examples

# NOT RUN {
data(GWAS_gene_multiple)
data(GTEx_t_score)
query_gene_list = GWAS_gene_multiple
tsea_t_multi = tsea.analysis.multiple(query_gene_list, 
	GTEx_t_score, 0.05, p.adjust.method = "BH")
tsea.plot(tsea_t_multi, 0.05)
# }