treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses
Abstract treeclimbR is for analyzing hierarchical trees of entities, such as phylogenies or cell types, at different resolutions. It proposes multiple candidates that capture the latent signal and pinpoints branches or leaves that contain features of interest, in a data-driven way. It outperforms cu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-05-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-021-02368-1 |