analyze_joint {hahmmr} | R Documentation |
Analyze allele and expression profile
Description
Analyze allele and expression profile
Usage
analyze_joint(
bulk,
t = 1e-05,
gamma = 20,
theta_min = 0.08,
logphi_min = 0.25,
hmm = "S15",
nu = 1,
min_genes = 10,
r = 0.015,
theta_start = 0.05,
exclude_neu = TRUE,
fit_gamma = FALSE,
fit_theta = FALSE,
verbose = TRUE
)
Arguments
bulk |
dataframe Bulk allele and expression profile |
t |
numeric Transition probability |
gamma |
numeric Overdispersion parameter |
theta_min |
numeric Minimum allele fraction |
logphi_min |
numeric Minimum log2 fold change |
hmm |
character HMM model to use (S7 or S15) |
nu |
numeric Phase switch rate |
min_genes |
integer Minimum number of genes per segment |
r |
numeric Alternative allele count bias |
theta_start |
numeric Starting value for theta_min |
exclude_neu |
logical Whether to exclude neutral segments in retest |
fit_gamma |
logical Whether to fit gamma |
fit_theta |
logical Whether to fit theta_min |
verbose |
logical Whether to print progress |
Value
dataframe Bulk allele and expression profile with CNV states
Examples
bulk_example = analyze_joint(bulk_example, hmm = 'S15')
[Package hahmmr version 1.0.0 Index]