Description Usage Arguments Details Value Author(s) References Examples
Classification using the B-cell associated gene signatures (BAGS) classifier of Dybkaer et al. [1]. The BAGS classifier attemps to assign the given supplied Diffuse Large B-Cell Lymphomas (DLBCL) samples to one of five classes according to their resembalace to normal Naive (N), Centrocytes (CC), Centroblasts (CB), Memory (M), and Plasmablasts (PB) cells.
1 |
new.data |
An expression |
cut.spec |
A |
percent.classified |
A |
The function BAGS classifies DLBCL patients according to the cell of origin for the tumor [1].
A list
of probabilities regarding each patients association
with each class, the determined class, and the used cut-off thresholds.
Steffen Falgreen <sfl (at) rn.dk>
Anders Ellern Bilgrau <abilgrau (at) math.aau.dk>
[1] Dybkaer, Karen, Martin Boegsted, Steffen Falgreen, Julie S. Boedker, Malene K. Kjeldsen, Alexander Schmitz, Anders E. Bilgrau et al. "Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis." Journal of Clinical Oncology 33, no. 12 (2015): 1379-1388.
[Add hemaclass.org reference]
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | files <- dir(system.file("extdata/celfiles", package = "hemaClass"),
full.names = TRUE)
affyBatch <- readCelfiles(filenames = files)
# The cel files are pre-processed
affyRMA <- rmaPreprocessing(affyBatch)
# The function rmaPreprocessing returns median centered and scaled
# expression values in the slot exprs.sc.
# The slot exprs.sc.mean contains mean centered and scaled expression values.
# This scaling can also be achieved using the function microarrayScale.
affyRMA.sc <- microarrayScale(affyRMA$exprs, center = "median")
# We may now use the ABCGCB classifier
BAGS(affyRMA.sc)
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