tsea.analysis {deTS} | R Documentation |
Tissue-specific enrichment analysis for query gene list
Description
Tissue-specific enrichment analysis by Fisher's Exact Test for given gene list.
Usage
tsea.analysis(query_gene_list, score, ratio = 0.05,
p.adjust.method = "BH")
Arguments
query_gene_list |
a gene symbol list object. |
score |
a gene tissue-specific score matrix, c("GTEx_t_score" or "ENCODE_z_score"), can be loaded by data(GTEx) or data(ENCODE), the default value is recommended "GTEx_t_score". |
ratio |
the threshold to define tissue-specific genes (with top t-score or z-score), the default value is 0.05. |
p.adjust.method |
p.adjust.method, c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none") |
Details
Tissue-specific enrichment analysis by Fisher's Exact Test for given gene list.
Value
A data frame with p-value of tissue-specific enrichment result.
Rows stand for tissue names and columns stand for sample names.
Note
nothing
Author(s)
Guangsheng Pei
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
data(GWAS_gene)
data(GTEx_t_score)
query_gene_list = GWAS_gene
tsea_t = tsea.analysis(query_gene_list, GTEx_t_score, 0.05,
p.adjust.method = "bonferroni")