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Letter to the editor for the article “identification of biomarkers and potential therapeutic targets of kidney stone disease using bioinformatics”

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The Original Article was published on 10 January 2024

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References

  1. Gao Y et al (2024) Identification of biomarkers and potential therapeutic targets of kidney stone disease using bioinformatics. World J Urol 42:17. https://doi.org/10.1007/s00345-023-04704-5

    Article  CAS  PubMed  Google Scholar 

  2. Al-Tashi Q et al (2023) Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review. Int J Mol Sci 24:7781. https://doi.org/10.3390/ijms24097781

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Diaz-Uriarte R et al (2022) Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput Biol 18:e1010357. https://doi.org/10.1371/journal.pcbi.1010357

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Dezső Z, Ceccarelli M (2020) Machine learning prediction of oncology drug targets based on protein and network properties. BMC Bioinform 21:104. https://doi.org/10.1186/s12859-020-3442-9

    Article  CAS  Google Scholar 

  5. Mutch DM, Berger A, Mansourian R, Rytz A, Roberts MA (2002) The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data. BMC Bioinform 3:17. https://doi.org/10.1186/1471-2105-3-17

    Article  Google Scholar 

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Authors and Affiliations

Authors

Contributions

LJ: project development, literature collection, and manuscript writing. XZ: project development, literature collection, and manuscript writing. GY: project development and manuscript writing. HC: project development, literature collection, and manuscript writing.

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Correspondence to Hao Chi.

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This comment refers to the article available at 10.1007/s00345-023-04704-5.

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Jiang, L., Zhou, X., Yang, G. et al. Letter to the editor for the article “identification of biomarkers and potential therapeutic targets of kidney stone disease using bioinformatics”. World J Urol 42, 271 (2024). https://doi.org/10.1007/s00345-024-05006-0

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  • DOI: https://doi.org/10.1007/s00345-024-05006-0

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