sccoda.model.other_models.scdney_model.analyze¶
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scdney_model.analyze(ground_truth=None, r_home='', r_path='', alpha=0.05)¶ Analyzes results from R script for SCDC from scdney packege. It is assumed that the effect on the first cell type is significant, all others are not.
- Parameters
- ground_truth :
array,NoneOptional[array] (default:None) binary array for comparison to ground truth
- r_home :
strstr(default:'') path to R installation on your machine, e.g. “C:/Program Files/R/R-4.0.3”
- r_path :
strstr(default:'') path to R executable on your machine, e.g. “C:/Program Files/R/R-4.0.3/bin/x64”
- alpha :
floatfloat(default:0.05) p-value cutoff
- ground_truth :
- Return type
Tuple[DataFrame,Tuple[ndarray,ndarray,ndarray,ndarray]]Tuple[DataFrame,Tuple[ndarray,ndarray,ndarray,ndarray]]- Returns
summary and classification results
Tuple – Tuple(raw summary from R, True positive…)