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- added parameters "CodeCount.summary.target" and "SampleContent.summary.target"
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- these parameters allow users to specify expected positive control and housekeeping probe summary values, which are used during the cross-sample normalization
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- this update allows for sample-independent normalization of various CodeCount and SampleContent methods
* sample.content.norm. added some error handling for cases where rna.content was estimated to be zero, resulting in normalization factors that were infinity and errors in norm.comp
* added parameter "guess.cartridges" in NanoStringNorm function. Cartridge estimates can be estimated from sample order and used in batch effect estimates
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* in Plot.NanoStringNorm the control types have different symbols
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* added some text to better describe the figures. also replaced the png with pdf for better resolution
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* made it so you can add manual and auto labels at the same time
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* added options label.n to specify the number of outliers to plot and label.as.legend to allow the labels to be written as a legend to avoid messy overlaps
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* output FDR qvalues
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BUG FIXES
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## Fixed
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* Plot.NanoStringNorm had a missing curly brace and forgotten browser statement
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* Shifted labels on positive.control plot to avoid overlap if long
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* Added regex for positive control names in cv plot, probe.correction function and norm.comp. sometimes the positive controls are named differently causing them to be missed during calculations
@@ -102,11 +101,10 @@ BUG FIXES
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* Fixed norm.factor plot positions when only one plot
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* changed low.cv.geo.mean method to better find low cv genes
* Added colour argument `col` in Plot.NanoStringNorm to change default plotting colours
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* Added function read.markup.RCC to process single sample markup RCC files
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* Changed NanoStringNorm log argument to `take.log`
@@ -117,9 +115,7 @@ MINOR FEATURES
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* Added argument `icc.method` in norm.comp to choose between anova (fast) and mixed (more appropriate)
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* Changed default sample name in read.xls.rcc to file.name
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BUG FIXES
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## Fixed
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* Added check in NanoStringNorm to check if input is a matrix, list, or data.frame
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* Added check for `Code.Class` colum in norm.comp. The col is referenced but the data is not exhaustively checked. The check was also added to the read.markup.RCC function
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