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In my PhD research I work with medical data and there are often large amounts of it missing. In my attempts to explore missing data problems and make my life easier I have done some work on two packag…
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Ref commits : a1c243e9 and 5a3b612f
The plink files @Unoqualsiasi tranferred to ftpgeno seem to be based on the "Native platform" positions and so we have different positions for markers depending…
argju updated
7 years ago
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Hi There,
I encountered errors when compiling in scr/.
I've fixed the error by replacing the libStatGen in src/ with the latest version (https://github.com/statgen/libStatGen.git). But it took me…
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I am calling munge_sumstats.py in the following way on a simulated dataset (made up chromosome, made up rsids):
```
./munge_sumstats.py \
--out test \
--N 2000.0 \
--sumstats example.sumstats.t…
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This is a fantastic package! Is there a way to export LPA profile classes, while keeping subject ids for long data?
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Doing constant imputation treats only the "missing_value" as missing, so a ``None`` by default stays there:
```python
from sklearn.impute import SimpleImputer
import numpy as np
X = np.array([1, 2…
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Dear Abhay:
Thanks for your yesterday's guidance. I write down the notes of what you said.
But I am afraid that I do the wrong way again and that is why I send you my notes before doing Thanks
…
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This is for the imputation model that will only be run once to produce results
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I know there is a parameter for maximum iterations. But what about something to control when convergence has been reached?
What is the convergence criterion anyway? I have been testing this on some s…
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Exploring Single-Cell Data with Deep Multitasking Neural Networks
Matthew Amodio
Krishnan Srinivasan
David van Dijk
Hussein Mohsen
Kristina Yim
Rebecca Muhle
Kevin R. Moon
Susan Kaech
Ryan …