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I get quite a strange scanpy error, which appears a bit stochastic... This is has happened for the first time in version 1.1.
I am trying to get a scatter plot of a subsetted anndata object like th…
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The current mutational signature implementation uses continuous data. It would be very useful if we can turn the data into binary calls (present or not or NA). We can then select samples with certain …
jjgao updated
8 months ago
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Hi, all! Very excited to see that Amazon launches the Auto-GLuon algorithms. I am doing a tabular data prediction project, and I tried two different code: The first is without setting parameters: pre…
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This issue is for keeping track of potential performance improvement ideas:
- reduce expression solving time and memory needs by better handling string data as pandas categorical data
- improve …
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Less Urgent
Can we have a tool that easily represents each text as a data point and visually demonstrates that each of those data points belongs to a cluster? It would be especially cool if this too…
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## Data
## Eye ball the data using excel/Libre Calc, scroll up/down
Check
- Pattern of data like how dates are written,
- Check how data entry people are recording NA values - 'NO CLUE', 'N/A'…
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I wanted to investigate which unit tests fail and why (and how to get them working again).
One of the changes that broke multiple tests was the switch from ARFF files to Parquet. For example, a datas…
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Hi,
The STAMP is quiet an efficient algorithm to integrate multi samples. But I wonder how to preprocess data. For example, I have four samples generated by 10X Visium, and how can I preprocess the…
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Hi there! Very much thanks for this excellent package!
I got a problem in building Bayesian network.
``` python
Z = Categorical(Dirichlet(1e-1 * np.ones(cat_num)))
B = GaussianARD(0, 1e-6, …
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will it work for multivariate time series classification for example mixture of categorical and continues data?
for example at time t1 we have observation: red, 2.4 , 5, 12.456 and time t2: gr…