Learn R Programming

TROM (version 1.3)

TROM-package: Transcriptome Overlap Measure

Description

select.associated.genes Select the associated genes of different biological samples
select.associated.orthologs Select the associated genes of different biological samples among
the genes with orthologs in the other species
choose.z Choose the suggested threshold for Z-scores
ws.trom Within-species transcriptome mapping
ws.trom.orthologs Within-species transcriptome mapping using only ortholog genes
bs.trom Between-species transcriptome mapping
heatmap.3 Plot the resulting within- or between-species TROM scores in a heatmap
find.top.GO.terms Find top enriched GO terms

Arguments

Details

Package: TROM
Type: Package
Version: 1.2
Date: 2016-08-29
License: GPL-2

References

Li WV, Chen Y and Li JJ (2016). TROM: A Testing-Based Method for Finding Transcriptomic Similarity of Biological Samples. Statistics in Biosciences. DOI: 10.1007/s12561-016-9163-y

Li JJ, Huang H, Bickel PJ, & Brenner SE (2014). Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq data. Genome Research, 24(7), 1086-1101.

Examples

Run this code
# NOT RUN {
## using TROM to map developmental stages of D. melanogaster and C. elegans

## The .rda files used in this example can be downloaded and unzipped from
## http://www.stat.ucla.edu/~jingyi.li/packages/TROM/TROM_Rdata.zip.
# }
# NOT RUN {
load("dm_gene_expr.rda")
load("ce_gene_expr.rda")
load("dm_ce_orthologs.rda")
dm_ce_trom <- bs.trom(sp1_gene_expr = dm_gene_expr,
                      sp2_gene_expr = ce_gene_expr,
                      sp1_sp2_orthologs = dm_ce_orthologs, z_thre=1.5,
                      provide=FALSE)
heatmap.3(   dm_ce_trom,
             max_score = 6,
             Rowv = NULL,
             Colv = NULL,
             dendrogram = c("none"),
             distfun = dist,
             hclustfun = hclust,
             xlab = "worm stages",
             ylab = "fly stages",
             main = "D. melanogaster vs. C. elegans Stage Mapping",
             key = TRUE,
             keysize = 1,
             trace = "none",
             density.info = c("none"),
             col = terrain.colors(120),
  )
  
# }

Run the code above in your browser using DataLab