Pārlūkot izejas kodu

Resolve some TODOs

Ryan C. Thompson 5 gadi atpakaļ
vecāks
revīzija
83f8b57e0c
1 mainītis faili ar 10 papildinājumiem un 100 dzēšanām
  1. 10 100
      thesis.lyx

+ 10 - 100
thesis.lyx

@@ -7314,19 +7314,6 @@ H3K27me3
 \end_inset
 \end_inset
 
 
 
 
-\end_layout
-
-\begin_layout Plain Layout
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-Get the IDR threshold
-\end_layout
-
-\end_inset
-
-
 \end_layout
 \end_layout
 
 
 \begin_layout Plain Layout
 \begin_layout Plain Layout
@@ -7355,7 +7342,7 @@ Summary of peak-calling statistics.
  
  
 \series default
 \series default
 For each histone mark, the number of peaks called using SICER at an IDR
 For each histone mark, the number of peaks called using SICER at an IDR
- threshold of ???, the mean width of those peaks, the fraction of the genome
+ threshold of 0.05, the mean width of those peaks, the fraction of the genome
  covered by peaks, and the fraction of reads in peaks (FRiP).
  covered by peaks, and the fraction of reads in peaks (FRiP).
 \end_layout
 \end_layout
 
 
@@ -8856,21 +8843,8 @@ end{landscape}
 \end_layout
 \end_layout
 
 
 \begin_layout Subsection
 \begin_layout Subsection
-Association between resting H3K4me2 and H3K4me3 promoter coverage landscapes
- and gene expression
-\end_layout
-
-\begin_layout Standard
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-Need a better section title, for this and the next one.
-\end_layout
-
-\end_inset
-
-
+Location of H3K4me2 and H3K4me3 promoter coverage associates with gene expressio
+n
 \end_layout
 \end_layout
 
 
 \begin_layout Standard
 \begin_layout Standard
@@ -9814,8 +9788,7 @@ end{landscape}
 \end_layout
 \end_layout
 
 
 \begin_layout Subsection
 \begin_layout Subsection
-Association between resting H3K27me3 promoter coverage landscapes and gene
- expression
+Patterns of H3K27me3 promoter coverage associate with gene expression
 \end_layout
 \end_layout
 
 
 \begin_layout Standard
 \begin_layout Standard
@@ -18156,27 +18129,6 @@ fRMA
 Robust fRMA vectors can be generated for new array platforms
 Robust fRMA vectors can be generated for new array platforms
 \end_layout
 \end_layout
 
 
-\begin_layout Standard
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-Look up the exact numbers, do a find & replace for 
-\begin_inset Quotes eld
-\end_inset
-
-850
-\begin_inset Quotes erd
-\end_inset
-
-
-\end_layout
-
-\end_inset
-
-
-\end_layout
-
 \begin_layout Standard
 \begin_layout Standard
 The published 
 The published 
 \begin_inset Flex Glossary Term
 \begin_inset Flex Glossary Term
@@ -18189,9 +18141,9 @@ fRMA
 \end_inset
 \end_inset
 
 
  normalization vectors for the hgu133plus2 platform were generated from
  normalization vectors for the hgu133plus2 platform were generated from
- a set of about 850 samples chosen from a wide range of tissues, which the
- authors determined was sufficient to generate a robust set of normalization
- vectors that could be applied across all tissues 
+ a set of 850 samples chosen from a wide range of tissues, which the authors
+ determined was sufficient to generate a robust set of normalization vectors
+ that could be applied across all tissues 
 \begin_inset CommandInset citation
 \begin_inset CommandInset citation
 LatexCommand cite
 LatexCommand cite
 key "McCall2010"
 key "McCall2010"
@@ -18233,38 +18185,10 @@ fRMA
  They are purpose-built for normalizing a specific type of sample on a specific
  They are purpose-built for normalizing a specific type of sample on a specific
  platform.
  platform.
  This is a mostly acceptable limitation in the context of developing a machine
  This is a mostly acceptable limitation in the context of developing a machine
- learning classifier for diagnosing a disease based on samples of a specific
+ learning classifier for diagnosing a disease from samples of a specific
  tissue.
  tissue.
 \end_layout
 \end_layout
 
 
-\begin_layout Standard
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-Talk about how these vectors can be used for any data from these tissues
- on this platform even though they were custom made for this data set.
-\end_layout
-
-\end_inset
-
-
-\end_layout
-
-\begin_layout Standard
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-How to bring up that these custom vectors were used in another project by
- someone else that was never published?
-\end_layout
-
-\end_inset
-
-
-\end_layout
-
 \begin_layout Subsection
 \begin_layout Subsection
 Methylation array data can be successfully analyzed using existing techniques,
 Methylation array data can be successfully analyzed using existing techniques,
  but machine learning poses additional challenges
  but machine learning poses additional challenges
@@ -19374,19 +19298,6 @@ ml of PAX gene additive.
 Globin blocking oligonucleotide design
 Globin blocking oligonucleotide design
 \end_layout
 \end_layout
 
 
-\begin_layout Standard
-\begin_inset Flex TODO Note (inline)
-status open
-
-\begin_layout Plain Layout
-HBA1 and HBA2 is wrong for cyno?
-\end_layout
-
-\end_inset
-
-
-\end_layout
-
 \begin_layout Standard
 \begin_layout Standard
 Four 
 Four 
 \begin_inset Flex Glossary Term (pl)
 \begin_inset Flex Glossary Term (pl)
@@ -19402,9 +19313,8 @@ oligo
 \begin_inset Formula $3^{\prime}$
 \begin_inset Formula $3^{\prime}$
 \end_inset
 \end_inset
 
 
- end of the transcripts for the Cynomolgus HBA1, HBA2 and HBB genes, with
- two hybridization sites for HBB and 2 sites for HBA (the chosen sites were
- identical in both HBA genes).
+ end of the transcripts for the Cynomolgus alpha and beta globin, with two
+ hybridization sites for each gene.
  All 
  All 
 \begin_inset Flex Glossary Term (pl)
 \begin_inset Flex Glossary Term (pl)
 status open
 status open