fix the order of genes across datasets when selecting a gene/methylation island subset of features #154
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…dcoding has to stay. cross study pred from and to the Toy wont work with DIPK
…ts names. Also adds TOYv2. Its purpose ought to be testing cross study prediction or similiar endeavours
…hold molir, superfeltr: remembering features from training dataset such that they can be subsetted in predict test molir, superfeltr: sample a drug that is in study and cross study
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
JudithBernett
approved these changes
Mar 5, 2025
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
Co-authored-by: Judith Bernett <38618495+JudithBernett@users.noreply.github.com>
…into DIPK_fix_genes_for_cs
… doing the fuzzy check and imputation
| - squared_error | ||
| n_components: | ||
| - 100 | ||
| - 80 |
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shouldn't we keep it at 100 and only change it for the test?
| inputs["copy_number_variation_gistic"], | ||
| inputs["fingerprints"], | ||
| ) | ||
| if methylation.shape[1] != len(self.methylation_features): |
Contributor
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then we also don't need self.methylation_features anymore right?
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closes #149