fixed problem with TL

alaindomissy · Apr 9, 2021 · 42ed8ce · 42ed8ce
1 parent a719d31
commit 42ed8ce
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diff --git a/R/DNAmAge.R b/R/DNAmAge.R
@@ -179,7 +179,6 @@ DNAmAge <- function(x,
 
   if (7 %in% method) {
     tl <- predAge(cpgs.imp, coefTL, intercept = TRUE)
-    tl <- anti.trafo(tl)
     TL <- data.frame(
       id = rownames(cpgs.imp),
       TL = tl

diff --git a/vignettes/methylclock.Rmd b/vignettes/methylclock.Rmd
@@ -1,6 +1,6 @@
 ---
 title: "Chronological and gestational DNAm age estimation using different methylation-based clocks"
-subtitle: "Dolors Pelegri, Gerardo Alfonso and Juan R Gonzalez"
+subtitle: "Dolors Pelegri and Juan R Gonzalez"
 author: |
   Institute for Global Health (ISGlobal), Barcelona, Spain
   Bioinformatics Research Group in Epidemiolgy (BRGE)
@@ -56,7 +56,7 @@ This manual describes how to estimate chronological and gestational DNA methylat
 The biological DNAm clocks implemented in our package are:
 
 - **Levine's clock** (also know as PhenoAge): It uses 513 CpGs described in @levine2018epigenetic. It was trained using 27K, 450K and EPIC arrays in blood samples.
-- **Telomere Length's clock** (TL): It uses 354 CpGs described in @lu2019dna It was trained using 450K and EPIC arrays in blood samples.
+- **Telomere Length's clock** (TL): It uses 140 CpGs described in @lu2019dna It was trained using 450K and EPIC arrays in blood samples.