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Update modeling.R #203

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Update modeling.R #203

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@stemangiola stemangiola commented May 20, 2021

In my dataset, the third dimension is 1, so drop=F avoids software crash.

Could you also please advise whether this is sometimes expected?

@@ -49,7 +49,7 @@ netAnalysis_contribution <- function(object, signaling, signaling.name = NULL, w
pairLR <- pairLR[pairLR.name.use,]
}

prob <- prob[,,pairLR.name.use]
prob <- prob[,,pairLR.name.use, drop=FALSE]
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This is not necessary as we have if (length(dim(prob)) == 2) below.

R/modeling.R Outdated
@@ -375,7 +375,7 @@ computeCommunProbPathway <- function(object = NULL, net = NULL, pairLR.use = NUL
group <- factor(pairLR.use$pathway_name, levels = pathways)
prob.pathways <- aperm(apply(prob, c(1, 2), by, group, sum), c(2, 3, 1))
pathways.sig <- pathways[apply(prob.pathways, 3, sum) != 0]
prob.pathways.sig <- prob.pathways[,,pathways.sig]
prob.pathways.sig <- prob.pathways[,,pathways.sig, drop=FALSE]
idx <- sort(apply(prob.pathways.sig, 3, sum), decreasing=TRUE, index.return = TRUE)$ix
pathways.sig <- pathways.sig[idx]
prob.pathways.sig <- prob.pathways.sig[, , idx]
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Can you also change line 381 prob.pathways.sig <- prob.pathways.sig[, , idx] to prob.pathways.sig <- prob.pathways.sig[, , idx, drop=FALSE]

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sqjin commented May 20, 2021

@stemangiola Thanks for your contribution. I made two comments. Can you please edit them and then I will merge these pull requests.

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