estimate_drop_out: This function is used for estimating dropout probability.
In WeiqiangZhou/SCDV: Single cell differential variance analysis
Description
This function is used for estimating dropout probability.
Usage
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estimate_drop_out(sc_data, sc_data_expect, gene_len_org, per_tile_beta = 6,
per_tile_tau = 6, alpha_init = c(1, -1), spois_init = 0.1,
beta_init = c(0.1, 0.1, 0.1), tau_init = c(0.1, -0.1, -0.1),
em_error_par = 0.01, em_min_count = 1, em_max_count = 30,
trace_flag = 0)
Arguments
sc_data
Input count matrix.
sc_data_expect
Gene expression from the pool neighboring cells obtained by function get_expected_cell
WeiqiangZhou/SCDV documentation built on May 17, 2019, 12:04 p.m.
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Description
This function is used for estimating dropout probability.
Usage
1 2 3 4 5 | estimate_drop_out(sc_data, sc_data_expect, gene_len_org, per_tile_beta = 6,
per_tile_tau = 6, alpha_init = c(1, -1), spois_init = 0.1,
beta_init = c(0.1, 0.1, 0.1), tau_init = c(0.1, -0.1, -0.1),
em_error_par = 0.01, em_min_count = 1, em_max_count = 30,
trace_flag = 0)
|
Arguments
sc_data |
Input count matrix. |
sc_data_expect |
Gene expression from the pool neighboring cells obtained by function get_expected_cell |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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