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_From @vjcitn on June 4, 2016 20:57_
ov is the readRDS of what we have in the S3 bucket
> table(pData(ov)$radiation_therapy, exclude=NULL)
no yes
557 5 29
> table(pData(ov)$chemo_thera…
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Hello,
I have very low coverage (0.5-1X) whole genome sequencing data for ~200 individuals. I would like to exclude individuals based on % missing data. Is there a way to calculate missingness in…
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Complete `mar` method in the `Corruptor` class.
Simplified, MAR (Missing at Random) is a type of missingness in which the probability of a value being missing is conditional only on the observed …
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To better reproduce cell-type specific protein expression, randomly remove a (different) set of proteins from each sample type.
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Destatis reports different kinds of missingness on regionalstatistik.de (e.g. 0 apparently does not mean zero).
![grafik](https://user-images.githubusercontent.com/1423562/73365138-13125c80-42ac-11…
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### Description of bug
[general_stats_table.csv](https://github.com/ewels/MultiQC/files/6980497/general_stats_table.csv)
[PT_aDNA_1_multiqc_report.html.zip](https://github.com/ewels/MultiQC/files/69…
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Filtering using the plink command --geno 0.1 results in 8% missingness and 315199 (of the original 354212) remain. Using --geno 0.5 results in only 7,500 SNPs.
So, under the new less missing data, w…
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Currently, there are some surprises in comparisons like
- by ahead you see dev10v4s lower WIS than amoebalike
- by forecast_date it looks like amoebalike is almost always lower WIS than dev10v4s.
…
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Hello,
I have successfully imputed the genotypes of interest which has greatly improved the missinigness. However, after imputation there is still some missingness in the data - see plots below. Is…
EveTC updated
2 years ago
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As a **developer** I want **to revise and refactor some of the logic in the L2G feature matrix generation step**
## Background
tbd.
## Tasks
- [ ] Refactor logic for assigning potential t…