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TDAstats: R pipeline for computing persistent homology in topological data analysis
High-dimensional datasets are becoming more common in a variety of scientific fields. Well-known examples include next-generation sequencing in biology, patient health status in medicine, and computer vision in deep learning. Dimension reduction, using methods like principal component analysis (PCA)...
Tallennettuna:
| Julkaisussa: | J Open Source Softw |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7771879/ https://ncbi.nlm.nih.gov/pubmed/33381678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21105/joss.00860 |
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