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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
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Corrigendum: IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations.

Qi Wang1,2, Guiying Yan1,2

  • 1Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.

Frontiers in Genetics
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Summary

This study corrects a previous article DOI. The corrected DOI ensures proper citation and access to the research findings.

Keywords:
association predictioncomputational prediction modeldiffusion modeldiseaselong non-coding RNA

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Area of Science:

  • Genetics
  • Bioinformatics

Context:

  • Correction of a previously published article DOI.
  • Ensuring accurate citation and accessibility of scientific literature.

Purpose:

  • To provide the correct Digital Object Identifier (DOI) for the article.
  • To rectify a bibliographic error and maintain research integrity.

Summary:

  • The article DOI has been corrected to 10.3389/fgene.2019.01259.
  • This correction facilitates accurate referencing and retrieval of the study.

Impact:

  • Improved discoverability of the research article.
  • Enhanced reliability of scientific record-keeping and citation practices.