Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Department of Electrical Engineering, New York, NY 10027, USA.
Bioinformatics. 2020 Jun 1;36(11):3588-3589. doi: 10.1093/bioinformatics/btaa148.
We developed 2DImpute, an imputation method for correcting false zeros (known as dropouts) in single-cell RNA-sequencing (scRNA-seq) data. It features preventing excessive correction by predicting the false zeros and imputing their values by making use of the interrelationships between both genes and cells in the expression matrix. We showed that 2DImpute outperforms several leading imputation methods by applying it on datasets from various scRNA-seq protocols.
The R package of 2DImpute is freely available at GitHub (https://github.com/zky0708/2DImpute).
Supplementary data are available at Bioinformatics online.
我们开发了 2DImpute，这是一种用于纠正单细胞 RNA 测序（scRNA-seq）数据中假零值（也称为缺失值）的插补方法。它的特点是通过预测假零值并利用表达矩阵中基因和细胞之间的相互关系来插补其值，从而防止过度校正。我们通过将 2DImpute 应用于来自各种 scRNA-seq 方案的数据集，表明它优于几种领先的插补方法。
2DImpute 的 R 包可在 GitHub（https://github.com/zky0708/2DImpute）上免费获得。
补充数据可在生物信息学在线获得。
