Enhancing single-cell cellular state inference by incorporating molecular network features

We present SCORE, a network-based method, to simulate the dynamic changes of molecular networks among different cellular states (https://github.com/wycwycpku/RSCORE). Using published and newly generated single-cell sequencing data, SCORE outperforms existing methods in accuracy, robustness, scalability for better data integration and batch effect removal. Moreover, SCORE can identify crucial gene modules and construct the characteristic molecular interaction networks for a cellular state, providing more biological insights rather than mainly statistical interpretation and annotation.