(A) Mean of the error rates and 95% confidence intervals as a function of different tumor fractions at a sequencing noise level of 0.02. Every μ was tested once. (B) The blue line shows the average fraction of ambiguous alleles that are present in 101 simulated datasets, each with a different tumor fraction between 0 and 1. The orange line indicates the mean and 95% confidence intervals of resolved ambiguities, normalized by the size of . (C) Mean of the tree reconstruction error rates and 95% confidence intervals as a function of the number of subclones in the sample. A total of 100 simulations were performed for each number of subclones, for each of which a noise level of 0.02 and μ of 0.9 was selected. Each line shows the total percentag...
During cancer development, the tumor cell population usually emerges from a single cell ancestor and...
Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer evolution stud...
15siMost cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopul...
(A-D) The error of inferring , , μ and T as a function of sequencing noise. For every noise level, t...
(A) Example of the true T for 6 hypothetical subclones. (B) Distance matrices reconstructed from the...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
(A) Expected development of TGCC based on knowledge described in literature. (B) Tree reconstructed ...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
(A) A vertical dependency exists between subclones A-D. In red a horizontally dependent region is hi...
Whole-genome sequencing can be used to estimate subclonal populations in tumours and this intra-tumo...
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogen...
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogen...
Tumours are composed of multiple subpopulations, each of which has its own genotype and phenotype. ...
Clonal deconvolution of mutational landscapes is crucial to understand the evolutionary dynamics of ...
During cancer development, the tumor cell population usually emerges from a single cell ancestor and...
Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer evolution stud...
15siMost cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopul...
(A-D) The error of inferring , , μ and T as a function of sequencing noise. For every noise level, t...
(A) Example of the true T for 6 hypothetical subclones. (B) Distance matrices reconstructed from the...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
(A) Expected development of TGCC based on knowledge described in literature. (B) Tree reconstructed ...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into th...
(A) A vertical dependency exists between subclones A-D. In red a horizontally dependent region is hi...
Whole-genome sequencing can be used to estimate subclonal populations in tumours and this intra-tumo...
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogen...
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogen...
Tumours are composed of multiple subpopulations, each of which has its own genotype and phenotype. ...
Clonal deconvolution of mutational landscapes is crucial to understand the evolutionary dynamics of ...
During cancer development, the tumor cell population usually emerges from a single cell ancestor and...
Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer evolution stud...
15siMost cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopul...