Low-Rank Full Matrix Factorization for dropout imputation in single cell RNA-seq and benchmarking with imputation algorithms for downstream applications Jinghan Huang, Anson C.M. Chow, Nelson L.S. Tang, Sheung Chi Phillip Yam doi: doi.org/10.1101/2024.10.21.619343 Anson contributed to this work when he worked in Cytomics HK. Well done. Congratulations.
Background While single cell RNA sequencing becomes a powerful technology, the presence of the large number of zero counts represents a challenge for both wet-lab processing and data analysis. Imputation of these dropouts can now be performed by three categories of algorithms: Model or smoothing, Ma...