genericInclusionLevelsFormat <- function() {
list(
tablename = "Inclusion levels",
description = "PSI values per alternative splicing event.",
dataType = "Inclusion levels",
# Transpose data before parsing? If so, a row in the transposed dataset
# would be a column in the original
skip = 1, # Rows to skip when parsing file (include header)
transpose = FALSE,
# Format checker information
rowCheck = TRUE, # Check a row (TRUE) or a column (FALSE)
checkIndex = 1, # Index of row/column to check the format
# File string to check
check = "AS Event ID",
# Parsing information
delim = "\t", # Delimiter used to separate fields
colNames = 1, # Row to use for column names
rowNames = 1, # Column to use for row names
ignoreCols = 1, # Columns to ignore
ignoreRows = NULL, # Rows to ignore
commentChar = NULL, # Ignore lines starting with this string
# Remove duplicated rows
unique = TRUE,
# Identity of rows and columns
rows = "alternative splicing events",
columns = "samples",
process = function(data) {
# Scale data if PSI values are between 0 and 100
maximum <- max(data, na.rm=TRUE)
if (maximum > 1 && maximum <= 100) data <- data/100
events <- rownames(data)
if (!is.null(events)) {
attr(data, "rowData") <- parseSplicingEvent(events, coords=TRUE)
data <- preserveAttributes(data)
}
return(data)
}
)
}
attr(genericInclusionLevelsFormat, "loader") <- "formats"
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