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FitHiChIP is an explicit and clearly written normalization method for HiChIP data processing.
Beyond significant loop calling, I want to develop a genome-wide background model by using FitHiChIP-prod…
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When some 1D data is given on a grid, and nothing more is known about it, then cubic splines are one of the best methods to interpolate it. It's relatively high order (compared to linear interpolation…
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I was annoyed with how Fusion made me run the script a bunch. This was generated with ChatGPT and let me import the extracted splines super fast.
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#Author-Autodesk Inc.
#Modified to import …
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Existing spline construction methods assume that the user passes an array of points to interpolate/approximate. This approach, however, does not provide control over interpolation methods, and in some…
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#### Expected behaviour
Using react to manage the minWidth does not break the graph scrollability and options that I pass to the component.
#### Actual behaviour
I have a spline graph and a but…
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Reach feature parity with https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.interpolate.html
Working on this on the interpolation branch!
Since pandas uses the index as the x values,…
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Hi,
I can't find the proper way to make a Spline transform inverse.
What I would like to do is a 2 step approach:
1) train a Spline transform from a 1D Standard Normal distribution on a data
`…
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Hi, I'm trying to create training, validation and test files in "Process Kepler Data" section. Unit test pass, bazel build done without any problems and all tensorflow libraries are correct.
```
#…
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Dear Bjarne,
I have looked into splinter because I need to calculate b-splines / p-splines for large data sets (astronomical images, usually 8-16 million pixels each). While the splines describe th…
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### 😵 Describe the installation problem
I used to install the required packages on Colab to run PyG using the following codes within 2 minutes.
```
import torch
def format_pytorch_version(ve…