Author Correction: Machine learning-based approaches for identifying human blood cells harboring CRISPR-mediated fetal chromatin domain ablations

Sci Rep. 2024 Feb 12;14(1):3573. doi: 10.1038/s41598-024-54011-1.

Yi Li^{1

2}, Shadi Zaheri³, Khai Nguyen^{4

5}, Li Liu⁶, Fatemeh Hassanipour³, Betty S Pace⁷, Leonidas Bleris^{8

9

10}

¹ Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA. [email protected].
² Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA. [email protected].
³ Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, USA.
⁴ Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA.
⁵ Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA.
⁶ Department of Biological Sciences, University of Texas at Dallas, Richardson, TX, USA.
⁷ Department of Pediatrics, Augusta University, Augusta, GA, USA.
⁸ Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA. [email protected].
⁹ Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA. [email protected].
¹⁰ Department of Biological Sciences, University of Texas at Dallas, Richardson, TX, USA. [email protected].

No abstract available

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