document loess and mva.plot.pair

[loess_normalization.git] / man / loess_normalization.Rd

diff --git a/man/loess_normalization.Rd b/man/loess_normalization.Rd
index 20a93cad8c03728814d650c6bb2728a3a2accdf7..b7e5c3d74c46417f1df0faa333bdc98bfe0a1c5f 100644 (file)
--- a/man/loess_normalization.Rd
+++ b/man/loess_normalization.Rd
@@ -5,8 +5,8 @@
 \title{loess_normalization}
 \usage{
 loess_normalization(expressions, iterations = 2, small.positive = 0.1,
-  sample.size = 200, num.cores = max(floor(detectCores()/2), 1),
-  normalization.method = "mean")
+  sample.size = 200, num.cores = max(floor(parallel::detectCores()/2), 1),
+  imputation.method = "mean", offset = 0)
 }
 \arguments{
 \item{expressions}{Gene expression values with probes in rows and samples in columns}
@@ -19,7 +19,7 @@ loess_normalization(expressions, iterations = 2, small.positive = 0.1,
 
 \item{num.cores}{Number of cores to use (Default: half of them)}
 
-\item{noramlization.method}{Normalization method (Default: mean).}
+\item{imputation.method}{Method to impute missing values. String of "mean" (missing values are the mean of the row) or "knn" (use impute.knn to impute missing values) (Default: "mean").}
 }
 \value{
 data.frame of normalized expression values