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Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008452 (2020)
Deconvolution of heterogeneous bulk tumor samples into distinct cellular populations is an important yet challenging problem, particularly when only partial references are available. A common approach to dealing with this problem is to deconvolve the
Externí odkaz:
https://doaj.org/article/704af6b68aa44856ace7f974c1e43838
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008452 (2020)
PLoS Computational Biology
PLoS Computational Biology
Deconvolution of heterogeneous bulk tumor samples into distinct cellular populations is an important yet challenging problem, particularly when only partial references are available. A common approach to dealing with this problem is to deconvolve the