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Minor rewordings in chapter 3

Ryan C. Thompson 6 years ago
parent
commit
76ea6d4604
1 changed files with 5 additions and 4 deletions
  1. 5 4
      thesis.lyx

+ 5 - 4
thesis.lyx

@@ -1101,7 +1101,8 @@ noprefix "false"
 However, the steep slope of the sigmoid transformation near 0 and 1 tends
 However, the steep slope of the sigmoid transformation near 0 and 1 tends
  to over-exaggerate small differences in β values near those extremes, which
  to over-exaggerate small differences in β values near those extremes, which
  in turn amplifies the error in those values, leading to a U-shaped trend
  in turn amplifies the error in those values, leading to a U-shaped trend
- in the mean-variance curve.
+ in the mean-variance curve: extreme values have higher variances than values
+ near the middle.
  This mean-variance dependency must be accounted for when fitting the linear
  This mean-variance dependency must be accounted for when fitting the linear
  model for differential methylation, or else the variance will be systematically
  model for differential methylation, or else the variance will be systematically
  overestimated for probes with moderate M-values and underestimated for
  overestimated for probes with moderate M-values and underestimated for
@@ -1109,7 +1110,7 @@ However, the steep slope of the sigmoid transformation near 0 and 1 tends
 \end_layout
 \end_layout
 
 
 \begin_layout Subsubsection
 \begin_layout Subsubsection
-The voom method for RNA-seq data can model this heteroskedasticity
+The voom method for RNA-seq data can model M-value heteroskedasticity
 \end_layout
 \end_layout
 
 
 \begin_layout Standard
 \begin_layout Standard
@@ -1133,8 +1134,8 @@ literal "false"
  Hence, the method is sufficiently general to model the mean-variance relationsh
  Hence, the method is sufficiently general to model the mean-variance relationsh
 ip in methylation array data.
 ip in methylation array data.
  However, the standard implementation of voom assumes that the input is
  However, the standard implementation of voom assumes that the input is
- given in raw read counts, and minor adjustments are required to run it
- on methylation M-values.
+ given in raw read counts, and it must be adapted to run on methylation
+ M-values.
 \end_layout
 \end_layout
 
 
 \begin_layout Standard
 \begin_layout Standard