Description Usage Arguments Value Examples
The main function performs the whole pipeline of TERM to identify TE-regulated modules.
1 2 3 4 | term(raw_rna, raw_ribo, rna_label, ribo_label, baseLevel, raw_ppi,
minCounts = 10, minCountsProportion = 1, num_seed = 100,
minModSize = 10, permTimes = 100, modularity_p = 0.05,
maxModOvlp = 0.5)
|
raw_rna |
raw RNA-seq read counts matrix |
raw_ribo |
raw Ribo-seq read counts matrix |
rna_label |
the experiment conditions corresponding to the samples in raw_rna |
ribo_label |
the experiment conditions corresponding to the samples in raw_ribo |
baseLevel |
the condition used as the base level for comparisons of differential expression and differential translation |
raw_ppi |
a matrix/dataframe containing gene-gene interactions in two columns |
minCounts |
the number of minimum read count of a gene in a sample, with default value 10 |
minCountsProportion |
the proportion of samples where a gene exhibits read counts larger than the minCounts in a same condition, with default value 1 |
num_seed |
the number of seed genes used for searching modules from multi-layer networks, with default value 100 |
minModSize |
the number of minimum genes within a module, with default value 10 |
permTimes |
permutation times for calculating modulatrity significance of modules, with default value 100 |
modularity_p |
threshold for modulatrity significance, with default value 0.05 |
maxModOvlp |
threshold for meetmin index defining the overlapping between modules, with default value 0.5 |
a list of results including a dataframe of mRNA and RPF differential expression and differential translation of genes, a dataframe of the multi-layer network with edge weights in each network as well as the average weight, a list of identified TE-regulated modules
1 2 |
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