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A self-guided, weakly supervised learning algorithm for feature extraction from noisy and high-dimensional data. It facilitates the identification of patterns that reflect underlying group structures across all samples in a dataset. The method incorporates a novel strategy to integrate spatial information, improving the interpretability of results in spatially resolved data.
Package details |
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Author | Stefano Cacciatore [aut, trl, cre] (ORCID: <https://orcid.org/0000-0001-7052-7156>), Leonardo Tenori [aut] (ORCID: <https://orcid.org/0000-0001-6438-059X>) |
Maintainer | Stefano Cacciatore <tkcaccia@gmail.com> |
License | GPL (>= 2) |
Version | 3.0 |
Package repository | View on CRAN |
Installation |
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