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In GitLab by @timdiels on Feb 20, 2020, 18:57
We need to handle rows without variance as we did in coexpnetviz before trying to calculate the correlation https://gitlab.psb.ugent.be/deep_genome/coexpnetviz/blob/master/coexpnetviz/_algorithm.py#L149
In CoExpNetViz we simply dropped such rows, I wonder how morph handles missing genes in expression matrices as this results in missing genes.
The text was updated successfully, but these errors were encountered:
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In GitLab by @timdiels on Feb 20, 2020, 18:57
We need to handle rows without variance as we did in coexpnetviz before trying to calculate the correlation https://gitlab.psb.ugent.be/deep_genome/coexpnetviz/blob/master/coexpnetviz/_algorithm.py#L149
In CoExpNetViz we simply dropped such rows, I wonder how morph handles missing genes in expression matrices as this results in missing genes.
The text was updated successfully, but these errors were encountered: