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

Autor: Li Y; Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA. yxl121030@utdallas.edu.; Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA. yxl121030@utdallas.edu., Zaheri S; Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, USA., Nguyen K; Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA.; Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA., Liu L; Department of Biological Sciences, University of Texas at Dallas, Richardson, TX, USA., Hassanipour F; Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, USA., Pace BS; Department of Pediatrics, Augusta University, Augusta, GA, USA., Bleris L; Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA. bleris@utdallas.edu.; Center for Systems Biology, The University of Texas at Dallas, Richardson, TX, USA. bleris@utdallas.edu.; Department of Biological Sciences, University of Texas at Dallas, Richardson, TX, USA. bleris@utdallas.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Feb 12; Vol. 14 (1), pp. 3573. Date of Electronic Publication: 2024 Feb 12.
DOI: 10.1038/s41598-024-54011-1
Databáze: MEDLINE
Nepřihlášeným uživatelům se plný text nezobrazuje