{"title":"作者对“从相关性到因果关系:揭示长链非编码rna在COVID-19发病机制中的作用”信函的回复。","authors":"Sara Fayazzadeh, Raheleh Heydari, Anna Meyfour","doi":"10.1186/s12985-025-02876-7","DOIUrl":null,"url":null,"abstract":"<p><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>","PeriodicalId":23616,"journal":{"name":"Virology Journal","volume":"22 1","pages":"299"},"PeriodicalIF":4.0000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403367/pdf/","citationCount":"0","resultStr":"{\"title\":\"Author's response to the letter \\\"From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis\\\".\",\"authors\":\"Sara Fayazzadeh, Raheleh Heydari, Anna Meyfour\",\"doi\":\"10.1186/s12985-025-02876-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><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>\",\"PeriodicalId\":23616,\"journal\":{\"name\":\"Virology Journal\",\"volume\":\"22 1\",\"pages\":\"299\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403367/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virology Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12985-025-02876-7\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"VIROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virology Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12985-025-02876-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"VIROLOGY","Score":null,"Total":0}
Author's response to the letter "From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis".
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.
期刊介绍:
Virology Journal is an open access, peer reviewed journal that considers articles on all aspects of virology, including research on the viruses of animals, plants and microbes. The journal welcomes basic research as well as pre-clinical and clinical studies of novel diagnostic tools, vaccines and anti-viral therapies.
The Editorial policy of Virology Journal is to publish all research which is assessed by peer reviewers to be a coherent and sound addition to the scientific literature, and puts less emphasis on interest levels or perceived impact.