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### Contact Details
s.w.wang@exeter.ac.uk
### Path to affected file
```shell
config file.
```
### Type of refactor
Code optimisation, Comment improvement
### Description of required code refact…
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Hi Vivian,
I am trying to impute dropouts from a csv of UMI values ( 7 genes and 12244 cells).
The codes are listed below.
scimpute ("E:/gdT.csv", Kcluster = 2, out_dir = "E:/Cal", ncores = 1, dr…
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thank you for this interesting approach and for sharing the code.
I am really interested in using a similar approach to our dataset.
I have a couple of questions:
1. do you mind sharing the code to…
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Hi,
while running your package, I got an error `Error: object 'is_ref2' not found`. I then checked `impute.R` code and saw that there's a problem at line 429:
```r
if(hetero){
is_ref…
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from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
num_pipeline = Pipeline([
('SimpleImputer', SimpleImputer(strategy="median")),
('attribs_adder', CombinedAt…
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@GregorDeCillia I included a new function xgboostImpute very similar to your rangerImpute function. On first sight, it performs very well. The functions take formulas as first input.
To make it more …
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I didn't find the detailed format of input data in your tutorial and is there any function we can use to convert our own data to the required format.
> Ten thousands SNP genotypes were filtered for…
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Say there is a test that is rarely administered. The results are in a column that is 80% null. The value may not be as important as simply having the test performed. You wouldn't want to impute that, …