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I have noticed that SHAPEIT4.2.1, when dealing with variants with high missingness rate, will sometimes fill the variants with very unlikely genotypes, sometimes even completely flipping which one is …
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Hello there,
I would like to ask if it is possible to make a SNP file from the manifest file. I would like to know also if it is possible to use the manifest file with `convert_bim_allele.pl`.
I…
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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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I'm attempting a classification on custom data. There are 8 features and 447 time steps or samples in the train/val set. I'm guessing the issue is with my dataset, so I provide some shape prints below…
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statgenGWAS version 1.0.7
You can reproduce the problem using the same code introduced in the CRAN vignettes:
[Introduction to the statgenGWAS package](https://cran.r-project.org/web/packages/statge…
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**Hello All:**
--
I am computing descriptors for a set of compounds using a code similar to the one shown below:
```
# create descriptor calculator with ALL descriptors
suppl = Chem.SmilesMol…
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The current implementation of [removeIndigenousBiologicalMeat](https://github.com/SWS-Methodology/faoswsProcessing/blob/9c35d91bc5389516ee6acfe0f07d73973284ef9b/R/removeIndigenousBiologicalMeat.R#L15)…
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There seems to be a reporting inconsistency when the `predictorMatrix` after imputation seems to indicate that a variable is included as a predictor, while `remove.lindep()` has effectively removed it…
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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 …