Skip to main content
Applied Biological Chemistry
Download PDF

Correction: Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

Applied Biological Chemistry volume 66, Article number: 71 (2023) Cite this article

The Original Article was published on 24 September 2023


Correction: Applied Biological Chemistry (2023) 66:64 https://doi.org/10.1186/s13765-023-00816-z


In this article the author name Hemalatha Palanivel was incorrectly written as Hemalatha Palnivel.


The original article [1] has been corrected.

Reference

  1. Dejene M, Palanivel H, Senthamarai H, Varadharajan V, Prabhu SV, Yeshitila A, Benor S, Shah S (2023) Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques. Appl Biol Chem 66:64. https://doi.org/10.1186/s13765-023-00816-z

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre of Excellence for Biotechnology and Bioprocess, Department of Biotechnology, College of Applied and Natural Science, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia

    Minilu Dejene, Hemalatha Palanivel, Alazar Yeshitila & Solomon Benor

  2. Department of Electrical and Electronics Engineering, PERI Institute of Technology, Chennai, Tamil Nādu, India

    Heeravathi Senthamarai

  3. Department of Biotechnology, PSG College of Technology, Coimbatore, India

    Venkatramanan Varadharajan

  4. Center of Excellence for Biotechnology and Bioprocess, Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

    S. Venkatesa Prabhu

  5. Department of Forestry, College of Agriculture, Fisheries and Forestry, Fiji National University, P. O. Box 1544, Nausori, Fiji Islands

    Shipra Shah

  6. Department of Plant Biology and Biodiversity, Management, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia

    Solomon Benor

  7. Department of Industrial Engineering, Faculty of Engineering and the Built, Environment, Tshwane University of Technology, Tshwane, South Africa

    Solomon Benor

Authors
  1. Minilu Dejene
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hemalatha Palanivel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heeravathi Senthamarai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Venkatramanan Varadharajan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. S. Venkatesa Prabhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Alazar Yeshitila
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Solomon Benor
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Shipra Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hemalatha Palanivel.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dejene, M., Palanivel, H., Senthamarai, H. et al. Correction: Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques. Appl Biol Chem 66, 71 (2023). https://doi.org/10.1186/s13765-023-00830-1

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/s13765-023-00830-1