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ABSTRACT: Motivation
Cell-type deconvolution is a computational approach to infer cellular distributions from bulk transcriptomics data. Several methods have been proposed, each with its own advantages and disadvantages. Reference based approaches make use of archetypic transcriptomic profiles representing individual cell types. Those reference profiles are ideally chosen such that the observed bulks can be reconstructed as a linear combination thereof. This strategy, however, ignores the fact that cellular populations arise through the process of cellular differentiation, which entails the gradual emergence of cell groups with diverse morphological and functional characteristics.Results
Here, we propose Hierarchical cell-type Deconvolution (HIDE), a cell-type deconvolution approach
SUBMITTER: Volkl D
PROVIDER: S-EPMC12261400 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature