View source: R/RCTDreplicates.R
CSIDE.population.inference | R Documentation |
RCTD.replicates
objectFirst, CSIDE must have been run on all replicates using e.g. the run.CSIDE.replicates
function.
CSIDE.population.inference(
RCTD.replicates,
params_to_test = NULL,
use.groups = FALSE,
MIN.CONV.REPLICATES = 2,
MIN.CONV.GROUPS = 2,
CT.PROP = 0.5,
fdr = 0.01,
log_fc_thresh = 0.4,
normalize_expr = F,
meta = FALSE,
meta.design.matrix = NULL,
meta.test_var = "intrcpt"
)
RCTD.replicates |
a |
use.groups |
(default FALSE) if TRUE, treats the replicates as having multiple groups (e.g. samples) according to the |
MIN.CONV.REPLICATES |
(default 2) the minimum number of replicates (if not use.groups) for which a gene must converge |
MIN.CONV.GROUPS |
(default 2) the minimum number of groups (if use.groups) for which a gene must converge |
CT.PROP |
(default 0.5) minimum ratio of gene expression within cell type compared to other cell types |
fdr |
(default 0.01) false discovery rate |
log_fc_thresh |
(default 0.4) minimum natural log estimated DE threshold |
normalize_expr |
(default FALSE) if TRUE, constrains total gene expression to sum to 1 in each condition |
meta |
(default FALSE) if TRUE, conducts population inference using general meta regression |
meta.design.matrix |
(default NULL) if meta == TRUE, then this is the design matrix for meta regression. Rows are samples and named columns are covariates. |
meta.test_var |
(default 'intrcpt') if meta == TRUE, this indicates which variable is tested in the meta regression. By default the intercept is tested, but one can also test for fixed effects of other covariates. |
params_to_test: |
(default 2 for test_mode = 'individual', all parameters for test_mode = 'categorical'). An integer vector of parameter indices to test. Note, for population mode, only the first parameter is tested. |
an RCTD.replicates
object containing the results of the CSIDE population-level algorithm. See RCTD.replicates
for documentation on the population_de_results
, population_sig_gene_list
, and population_sig_gene_df
objects.
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