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We provide tissue-specific evidence that lysine acetylation is comparable to phosphorylation in cellular prevalence.
In Figure 2, PyClone detects one of the two subclonal populations, whose ground truth cellular prevalence is 20%, but misestimates the other subclonal population, whose ground truth cellular prevalence is 80%, except for a few segments.
The VAF for a mutation is proportional to the cellular prevalence or fraction of cells in the sample that contain the mutation.
The estimated cellular prevalence of this single population is 83%, which is also consistent with the tumor purities estimated by PyLOH, ABSOLUTE and one result of THetA [ 11].
We further assume there are K subclonal populations within the tumor sample, each of which has an associated cellular prevalence ϕ k ∈ 0[ 1].
One estimated subclonal cellular prevalence 32% is consistent with the tumor purities estimated by PyLOH and THetA [ 11], and another estimated cellular prevalence 66% is consistent with the tumor purity estimated by ABSOLUTE [ 20] reported in [ 12]. Figure 3b shows the five log-likelihoods of MB-116 under different numbers of sub-clonal populations.
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Since Mix-Clone defines different subclonal populations based on distinct cellular prevalences, those populations with similar cellular prevalences may not be differentiated by MixClone.
Each artificial tumor genome was randomly assigned with segmentations, allelic configurations and subclonal cellular prevalences.
In this article, we present a novel probabilistic mixture model, MixClone, to infer the cellular prevalences of subclonal populations.
To achieve finer resolution of subclonal populations, subclonal lineages information would be necessary to further differentiate each population in addition to cellular prevalences.
MixClone is a comprehensive software package, including subclonal cellular prevalences estimation, allelic configuration estimation, absolute copy number estimation and a few visualization tools.
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