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Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities
A complete understanding of biological processes requires synthesizing information across heterogeneous modalities, such as age, disease status, or gene expression. Technological advances in single-cell profiling have enabled researchers to assay multiple modalities simultaneously. We present Schema...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091541/ https://www.ncbi.nlm.nih.gov/pubmed/33941239 http://dx.doi.org/10.1186/s13059-021-02313-2 |