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when i run" GSM6506110_RCTD <- run.RCTD(GSM6506110, doublet_mode = 'doublet')"
it appears many times,i reinstalled so many times:
fitBulk: decomposing bulk
chooseSigma: using initial Q_mat with sigma = 1
Error in checkForRemoteErrors(lapply(cl, recvResult)): 4 nodes produced errors; first error: object '.doSnowGlobals' not found
Traceback:
when i run" GSM6506110_RCTD <- run.RCTD(GSM6506110, doublet_mode = 'doublet')"
it appears many times,i reinstalled so many times:
fitBulk: decomposing bulk
chooseSigma: using initial Q_mat with sigma = 1
Error in checkForRemoteErrors(lapply(cl, recvResult)): 4 nodes produced errors; first error: object '.doSnowGlobals' not found
Traceback:
. beads, RCTD@internal_vars$gene_list_reg, constrain = F, max_cores = RCTD@config$max_cores)
. .export = environ) %dopar% {
. assign("Q_mat", Q_mat, envir = globalenv())
. assign("X_vals", X_vals, envir = globalenv())
. assign("K_val", K_val, envir = globalenv())
. assign("SQ_mat", SQ_mat, envir = globalenv())
. decompose_full(data.matrix(cell_type_means[gene_list, ] *
. nUMI[i]), nUMI[i], beads[i, ], constrain = constrain,
. OLS = OLS, MIN_CHANGE = MIN.CHANGE)
. }
. attachExportEnv)
. domain = NA)
thank u so much for reply
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