Description Usage Arguments Value Examples
Combines all other package functions for one-step pathway visualization
1 2 3 4 5 |
pathwayid |
A KEGG pathway ID of the form "hsa12345" (only human pathways currently) |
cell_line |
If left as NA will generate a pathway map without data-dependent attributes (such as edge width). To use in combination with LINCS data, choose from the set of cell lines: (A375,A549,ASC,HA1E,HCC515,HEK293T,HEKTE,HEPG2,HT29,MCF7,NCIH716,NPC,PC3, SHSY5Y,SKL,SW480,VCAP) |
refine_by_cell_line |
A logical indicator |
add_L1000_edge_data |
A logical indicator |
significance_markup |
A logical indicator; if set to TRUE will color edges based on direction and significance of correlation (as determined by user-data-analysis) |
data_type |
Choose from data types: (100_full, 100_bing, 50_lm) |
pert_time |
Choose from (6,24,48,96,120,144,168) |
only_mapped |
A logical indicator; if set to FALSE will return 'de-novo' edges that 'exist' in data but are not documented in KEGG |
layered_nodes |
A logical indicator; if set to TRUE will create a graph with 'stacked' nodes that the user can manipulate when multiple nodes are mapped to one location |
graph_title |
An optional user-specified graph title |
get_data |
A logical indicator; if set to true, will return the 'expanded' edge information for the specified pathway |
convert_KEGG_IDs |
A logical indicator; if set to TRUE KEGG compounds will remain labeled via KEGG codes (do not need KEGGREST) |
tidy_edge |
A logical indicator; must be set to FALSE for expanded edges |
A dynamic map in Cytoscape automatically formatted for convenient viewing and, if idicated by user, a data.frame object with detailed information for 'expanded' KEGG edges
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
#Default KEGG pathway with colored edges representing type of relationship:
KEGG_lincs("hsa04115", convert_KEGG_IDs = FALSE)
#KEGG pathway with edge width and color based on observed experimental data:
KEGG_lincs("hsa04115", "HA1E")
#Have edge information data.frame to be output to the global environment:
p53_edge_info <- KEGG_lincs("hsa04115", graph_title = "p53"
convert_KEGG_IDs = FALSE, get_data = TRUE)
## End(Not run)
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