View source: R/Genotype_value.R
Genotype_value | R Documentation |
rho_hat: Relative coverage change for each cell in a region theta_hat: Major haplotype proportion fir each cell in a region
Genotype_value( Obj_filtered = NULL, type = "tumor", raw_counts = NULL, ref_counts = NULL, cov_adj = 1, ref_gtv = NULL, mincell = NULL, qt_filter = TRUE, cell_filter = TRUE, refr = TRUE, cov_only = FALSE )
Obj_filtered |
An Alleloscope object with theta_hat info in the rds_list and identified/ specified normal cells and a normal region |
type |
Specify whether the sample is a "tumor" or "cellline". If "type" is a "cellline", param "ref_counts" needs to be specified for normal sample. |
raw_counts |
(required) A large binned coverage matrix (m1 bin by n1 cell) with values being read counts for all chromosomal regions of tumor sample. |
ref_counts |
(required only when type = "cellline") A binned coverage matrix (m2 bin by n2 cell) with values being read counts for all chromosomal regions of normal sample. n2 can be 1 for bulk sample. |
cov_adj |
An integer for coverage adjustment for tumor cells. |
ref_gtv |
A reference "genotype_values" (from scDNA-seq) to help with rho_i estimation. |
mincell |
An integer to filter out regions with minimum number of cells. |
qt_filter |
Logical (TRUE/ FALSE). Whether or not to exclude cells with rho_hat>0.99 or <0.01 for each region. |
cell_filter |
Logical (TRUE/ FALSE). Whether or not to exclude low quality cells in the output matrix. |
refr |
Logical (TRUE/ FALSE). Whether or not to use diplid region for normalization (otherwise, cell size is used). |
cov_only |
Logical (TRUE/FALSE). Whether or not to use only compute fold chagne values for each cell across the regions. |
(rho_hat, theta_hat) of each cell for all region in the "genotype_values". Every 2 columns in the genotype_values are (rho_hat, theta_hat) of each region. Each row is a cell.
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