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Cellular deconvolution with continuous transitions

A recent work introduces a cellular deconvolution method, MeDuSA, of estimating cell-state abundance along a one-dimensional trajectory from bulk RNA-seq data with fine resolution and high accuracy, enabling the characterization of cell-state transition in various biological processes.

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Fig. 1: The overview of various cellular deconvolution methods.


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Correspondence to Jialiang Huang.

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Zhang, Z., Huang, J. Cellular deconvolution with continuous transitions. Nat Comput Sci 3, 582–583 (2023).

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