fSuSiE Plots using Gviz
Usage
fsusie_log_plot(
obj,
chr,
pos0,
pos1,
X,
Y,
snp_info,
cs = 1,
log1p_count = FALSE,
effect_log = TRUE,
thresh_lfsr = NULL,
data_splice = NULL,
type_data = "p"
)
Arguments
- obj
is the fsusie object
- chr
the chromosome number
- pos0
the start of the RNAseq count (genomic position of the first column of the Y matrix used to fit the fsusie object) description
- pos1
the end of the RNAseq count (genomic position of the last column of the Y matrix used to fit the fsusie object) description
- X
the X matrix used to fit fsusie
- Y
the Y matrix used to fit fsusie
- snp_info
'optional) a matrix containing the information of the genotype matrix see vignette on RNaseq
- cs
the cs number to be plotted
- log1p_count
logical (default to FALSE) show the observe count conditional on the leads SNP in the using log1p_count
- effect_log
logical (set to TRUE) , the plot assume that you fitted the fsusie object on log +1 count and so if you set this parameter to FALSE the displayed effect will be the expected difference in count instead of the fitted curve
- thresh_lfsr
if the susiF object is fitted using HMM postprocessing you can use this argument to set to 0 the estimated effect that have an local false sign rate higher than a given threshold (e.g., 0.05) description
- type_data
set to "p" change the type of plot for the observed count conditional of the lead SNP see GViz documentation