Description Usage Arguments Details Value Examples
Default run of CHRONOS
1 2 | CHRONOSrun(mRNAexp, mRNAlabel, miRNAexp, pathType, subType, measures,
thresholds, org, export, verbose, miRNAinteractions)
|
mRNAexp |
mRNA expressions filename located in CHRONOS/extdata/Input |
mRNAlabel |
mRNA nomenclature
(for supported types see |
miRNAexp |
miRNA expressions filename located in CHRONOS/extdata/Input |
pathType |
Pathway type ('Metabolic', 'Non-Metabolic', 'All' or vector of pathway ids) |
subType |
Subpathway type ('Linear', 'Non-Linear', 'All') |
measures |
Include subpathway structural and functional aspects ('TRUE', 'FALSE') |
thresholds |
Subscore, mirscore and p-value thresholds |
org |
KEGG organism identifier |
export |
Export file type ('.xlsx', '.txt') |
verbose |
Show informative messages (TRUE/FALSE). |
miRNAinteractions |
Edgelist of miRNA-mRNA interactions. |
Imports gene and miRNA expressions from
CHRONOS/extdata/Input/<mRNAexpFile>.txt
and CHRONOS/extdata/Input/<miRNAexpFile>.txt
Downloads all availiable pathways for the specified organism from KEGG.
Creates pathway graphs from downloaded KGML files.
Extracts linear subpathways from metabolic and non metabolic graphs.
Extracts non linear subpathways from metabolic and non metabolic graphs.
Downloads miRecords miRNA-mRNA interactions.
Scores and evaluates (linear and non linear) subpathways to extract significant results.
Organism identifier.
Visualizes most the significant results ('.xlsx' or '.txt').
Display informative messages (TRUE/FALSE).
User-defined miRNA-mRNA interactions can be supplied in the form of
an edgelist with two columns. If no such information is availiable,
a missing or a NULL argument forces the use of default interactions
by using downloadMiRecords
.
.
1 2 3 4 5 6 7 8 9 10 11 12 | # Default run
load(system.file('extdata', 'Examples//data.RData', package='CHRONOS'))
res <- CHRONOSrun( mRNAexp=mRNAexpr,
mRNAlabel='entrezgene',
miRNAexp=miRNAexpr,
pathType=c('04915', '04917', '04930', '05031'),
org='hsa',
subType='Linear',
thresholds=c('subScore'=0.4, 'mirScore'=0.4),
miRNAinteractions=miRNAinteractions)
|
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