cancercellFraction | R Documentation |
Computes the maximum likelihood estimate of cancer cell fractions given observed VAF
alpha_hat = cancercellFraction(f_hat, n, qt, q2, alpha, e=0.01)
f_hat |
numeric vector of variant allele fractions where f_hat = 0 … 1 |
n |
integer vector of total depth of coverage |
qt |
integer vector of total copy numbers |
q2 |
integer vector of major allele |
alpha |
numeric value of global purity where alpha = 0 … 1 |
e |
numeric value of sequencing error rate where e = 0 … 1 |
Data frame with columns as follows:
cell_multiplicity:
scaled_cell_frac:
cancer_cell_frac:
ccf_95CI_low:
ccf_95CI_high:
Pr_somatic_clonal: probability that SNV is somatic and clonal
Pr_germline: probability that SNV is a germline mutation
Pr_subclonal: probability that SNV is somatic and subclonal
Pr_subclonal_wt0: probability that SNV is subclonal when qt = 1, 0 otherwise
Pr_wt0: probability that q2 copies are mutated if locus has uniparental allele (qt = q2), 0 otherwise
Pr_ge2: warning: undocumented \& not in use
Pr_GL_som_HZ_alt: warning: undocumented \& not in use
Pr_GL_som_HZ_ref: warning: undocumented \& not in use
Pr_cryptic_SCNA: warning: undocumented
LL: log likelihood
sq: most probable number of mutated copies where sq = 1 ldots q2
Pr_somatic: probability that SNV is somatic i.e. Pr_somatic_clonal + Pr_subclonal
David Brown
brownd7@mskcc.org
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