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treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses
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 currently a...
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| Publicado no: | Genome Biol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8127214/ https://ncbi.nlm.nih.gov/pubmed/34001188 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-021-02368-1 |
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