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<p>A recent letter to the editor, from correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis, provided recommendations and suggestions concerning our published paper, Long non-coding RNAs in Biomarking COVID-19: A Machine Learning-Based Approach (2024). The comments focused primarily on future directions. In this response, we clarify and emphasize the rationale underlying our original approach.</p>

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Author’s response to the letter “From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis”

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月2日

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  • Sara Fayazzadeh,
  • Raheleh Heydari,
  • Anna Meyfour

摘要

A recent letter to the editor, from correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis, provided recommendations and suggestions concerning our published paper, Long non-coding RNAs in Biomarking COVID-19: A Machine Learning-Based Approach (2024). The comments focused primarily on future directions. In this response, we clarify and emphasize the rationale underlying our original approach.