seurat-4.1.0/R/preprocessing.R:2387:NormalizeData.default <- function( 该函数的注释的前2行提示,该函数用到了并行化技术: Apply Function to Elements in Parallel using Futures 我使用过Python和Java的多线程,但不熟悉R的并行化技术。先跳过,后面集中再说。//todo #' @importFrom future.apply future_la...
Visual Basic Public Sub NormalizeData() C# public void NormalizeData(); C++ public: void NormalizeData(); JScript public function NormalizeData(); Remarks Exceptions InvalidCallException The method call is invalid. For example, a method's parameter might contain an invalid value.日本...
small.seurats <- lapply(samples$Condition, function(cond){ ## create a metadata df no.cells <- (file.list[[cond]]$CountMatrix %>% dim())[2] meta.data <- data.frame( "Barcodes" = file.list[[cond]]$SampleMetadata[['X1']], "Condition" = rep_len(cond, length.out = no.cells...
展开表 Visual Basic Public Sub NormalizeData() C# public void NormalizeData(); C++ public: void NormalizeData(); JScript public function NormalizeData(); Remarks Exceptions InvalidCallException The method call is invalid. For example, a method's parameter might contain an invalid value.中文...
Visual BasicPublic SubNormalizeData() C#publicvoidNormalizeData(); C++public: voidNormalizeData(); JScriptpublic functionNormalizeData(); Remarks Exceptions InvalidCallException The method call is invalid. For example, a method's parameter might contain an invalid value....
-1.2649 -0.63246 0 0.63246 1.2649% Note it's the same, so the normalize function must operate in this manner. Xnorm*S + mu ans = 1 2 3 4 5% Retrieve the original values! Yay! So, in my example above, what I need is what MATLAB is determining ...
To save the transformation so that you can apply the same normalization method to another similar dataset, right-click the module, select Transformation function, and click Save as Transform. You can then load the saved transformations from the Transforms group of the left navigation pane...
np.ptp is the 'point-to-point' function which is the range Normalize by row, column or overall Now, lets assume that an input dataset could be data arranged by row, column or as a raster... We need to change of normalize equation just a bit to see the results. Header 1 #...
To save the transformation so that you can apply the same normalization method to another similar dataset, right-click the module, select Transformation function, and click Save as Transform. You can then load the saved transformations from the Transforms group of the left navigation pane and apply...
normalizeData=require('normalize-package-data')packageData=require("./package.json")warnFn=function(msg){console.error(msg)}normalizeData(packageData,warnFn)// packageData is now normalized. Any number of warnings may have been logged. You may combine strict validation with warnings by passingtrueas...