Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data-Reference-Cited by-同舟云学术

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Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data

Published:2019-08 Issue:8 Volume:26 Page:782-793
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Gogolewski Krzysztof¹,Sykulski Maciej²³,Chung Neo Christopher¹,Gambin Anna¹

Affiliation:

1. Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warszawa, Poland.

2. Department of Medical Genetics, Warsaw Medical University, Warszawa, Poland.

3. Research and Development Laboratory, genXone Inc., Poznań, Poland.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0255

Reference30 articles.

1. Robust principal component analysis?

2. Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm

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