View source: R/meth_analysis.R
compute_gene_meth_profile | R Documentation |
Generate differential methylation profile for a gene around the transcription start side
compute_gene_meth_profile(gene, exp_grp, data_meth, pf_meth, type_of_analysis,
contrast = c("tissue_status", "patho", "normal"),
indiv_filtering_matrix = NULL, pf_pos_colname, pf_chr_colname, updwn_str,
slide, wig_size, mask_wide, apply_func = apply, min_DE_samples = 5)
gene |
A list that describe gene in bed format. |
exp_grp |
A |
data_meth |
A matrix of row methylation data with TCGA sample ids as column names and probes ids as row names. |
pf_meth |
a data.frame with metadata types as columns names and probes ids as row names. |
type_of_analysis |
A string indicating if you want to make a population or an individual analysis. Could either be "pop" or "indiv". If not specifyed, all samples are take. |
contrast |
A vector containing the constrast to use to estimate the compute the methylation profiles. Required if you are in the "pop" mode. |
indiv_filtering_matrix |
A matrix of filter to define reference and tested individual for each probe. Required if you are in the "indiv" mode. |
pf_pos_colname |
string matching the name of the column in the platform that contain the position information of probes |
pf_chr_colname |
string matching the name of the column in the platform that contain the chromosome information of probes |
updwn_str |
is the width of the window on the chromosome in bp where the function will fetch probes position and differential methylation value |
slide |
is the maximum width slide you'll alow when comparing two curve |
wig_size |
is resolution at which the function interpolate the probes signal |
mask_wide |
is mask wide of o probe |
apply_func |
Function that will be used for apply. |
min_DE_samples |
A minimum of differentially expressed sample to consider a given gene as suitable for further analysis. Required if you are in the "indiv" mode. |
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