HiMaLAYAS: enrichment-based annotation of hierarchically clustered matrices
Horecka, I.; Rost, H.
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SummaryHierarchical clustering organizes high-dimensional biological matrices and is commonly used for visualization rather than statistical inference. Most enrichment-based analyses of such matrices are confined to gene expression data and fixed workflows. We introduce Hierarchical Matrix Layout and Annotation Software (HiMaLAYAS), a framework for post hoc enrichment-based annotation of hierarchically clustered matrices. HiMaLAYAS treats clusters as statistical units, evaluates annotation enrichment, and renders significant annotations alongside the matrix. HiMaLAYAS supports biological and non-biological domains. Availability and ImplementationHiMaLAYAS is a Python package available via pip, distributed under the BSD 3-Clause License at https://github.com/himalayas-base/himalayas, and archived on Zenodo at https://doi.org/10.5281/zenodo.18610373.
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