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Correction to “A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data”

机译：校正“基于非负矩阵分解的基于非负矩阵分解的框架，用于分析多级时间序列单单元RNA-SEQ数据”

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Inuk Jung; Joungmin Choi; Heejoon Chae;
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1. A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data [J] . Jung Inuk, Choi Joungmin, Chae Heejoon Quality Control, Transactions . 2020,第期

机译：基于非负矩阵分解的框架，用于分析多级时间序列单细胞RNA-SEQ数据
2. Erratum to: ‘NMFP: a non-negative matrix factorization based preselection method to increase accuracy of identifying mRNA isoforms from RNA-seq data’ [J] . Yuting Ye, Jingyi Jessica Li BMC Genomics . 2016,第1期

机译：勘误如下：“ NMFP：一种基于非负矩阵分解的预选择方法，可以提高从RNA序列数据中鉴定mRNA亚型的准确性”
3. A framework for intelligent Twitter data analysis with non-negative matrix factorization [J] . Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, International journal of web information systems . 2018,第3期

机译：非负矩阵分解的智能Twitter数据分析框架
4. NMFP: a non-negative matrix factorization based preselection method to increaseaccuracy of identifying mRNA isoforms from RNA-seq data [C] . Yuting Ye, Jingyi Jessica Li Asia-Pacific Bioinformatics Conference . 2016

机译：NMFP：基于非负矩阵分解的预选方法，以增加来自RNA-SEQ数据的mRNA同种型的COMCURACY
5. Comparing principal component analysis, singular value decomposition and non-negative matrix factorization using U.S. mortality data [D] . Hapuwitharana, J. C. 2014

机译：使用美国死亡率数据比较主成分分析，奇异值分解和非负矩阵分解
6. Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization [O] . Xun Zhu, Travers Ching, Xinghua Pan, -1

机译：通过非负矩阵分解检测单细胞RNA-Seq数据中的异质性
7. Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization [O] . Xun Zhu, Travers Ching, Xinghua Pan, 2017

机译：通过非负矩阵分解检测单细胞RNa-seq数据的异质性

Correction to “A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data”

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