#artificial intelligence
Nov 2025
A Hybrid Computational Intelligence Framework for scRNA-seq Imputation: Integrating scRecover and Random Forests
This work presents SCR-MF, a modular two-stage workflow that combines principled dropout detection using scRecover with robust non-parametric imputation via missForest to achieve robust and interpretable performance comparable to or exceeding existing imputation methods in most cases.
Ali Anaissi, De-Shao Liu, Yuan-Zhe Jia et al.
· arXiv.org · 0 citations