DamageDetective - Detecting Damaged Cells in Single-Cell RNA Sequencing Data

Detects and filters damaged cells in single-cell RNA sequencing (scRNA-seq) data using a novel approach inspired by 'DoubletFinder'. Damage is assessed by measuring how much each cell deviates from an artificially damaged version of itself, simulated through the probabilistic loss of cytoplasmic RNA. The method outputs a damage score ranging from 0 (viable, intact cell) to 1 (broken, non-viable cell), providing an intuitive scale for filtering that is standardised across cell types, sample origin, and experimental design.