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Fixed merge conflict noise

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hyginn 2018-01-28 18:53:10 -05:00
parent c17b340b38
commit ead20d5f18
1 changed files with 0 additions and 27 deletions
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RPR-GEO2R.R
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@ -34,7 +34,6 @@
#TOC>
#TOC> Section Title Line
#TOC> --------------------------------------------------------------------
<<<<<<< HEAD
#TOC> 1 Preparations 53
#TOC> 2 Loading a GEO Dataset 84
#TOC> 3 Column wise analysis - time points 154
@ -47,20 +46,6 @@
#TOC> 5.1 Final task: Gene descriptions 490
#TOC> 6 Improving on Discovery by Differential Expression 495
#TOC> 7 Annotation data 577
=======
#TOC> 1 Preparations 51
#TOC> 2 Loading a GEO Dataset 82
#TOC> 3 Column wise analysis - time points 152
#TOC> 3.1 Task - Comparison of experiments 158
#TOC> 3.2 Grouped Samples 205
#TOC> 4 Row-wise Analysis: Expression Profiles 240
#TOC> 4.1 Task - Read a table of features 275
#TOC> 4.2 Selected Expression profiles 323
#TOC> 5 Differential Expression 364
#TOC> 5.1 Final task: Gene descriptions 488
#TOC> 6 Improving on Discovery by Differential Expression 493
#TOC> 7 Annotation data 575
>>>>>>> b17a9e202ad3429a716683538b3d0ed8d7d9ff9e
#TOC>
#TOC> ==========================================================================
@ -601,7 +586,6 @@ GSE3635annot <- getGEO("GSE3635", GSEMatrix = TRUE, getGPL = TRUE)
GSE3635annot <- GSE3635annot[[1]]
# ... and the feature data is then available in the GSE3635@featureData@data
<<<<<<< HEAD
# slot:
str(GSE3635annot@featureData@data)
GSE3635annot@featureData@data[ 1:20 , ]
@ -626,13 +610,6 @@ myAnnot[which(myAnnot$Gene == "MBP1"), ]
# Alternatively, we could have identified the GPL file for this set:
=======
# slot:
str(GSE3635annot@featureData@data)
GSE3635annot@featureData@data[ 1:20 , ]
# ... or we could have identified the GPL file for this set:
>>>>>>> b17a9e202ad3429a716683538b3d0ed8d7d9ff9e
GSE3635@annotation # "GPL1914"
# ... and downloaded it directly from NCBI:
@ -640,13 +617,9 @@ GPL1914 <- getGEO("GPL1914")
str(GPL1914)
# ... from which we can get the data - which is however NOT necessarily
<<<<<<< HEAD
# matched to the rows of our expression dataset. Note that here to: the majority
# of data elements are factors and will likely have to be converted before
# use.
=======
# matched to the rows of our expression dataset.
>>>>>>> b17a9e202ad3429a716683538b3d0ed8d7d9ff9e
# [END]