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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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Corrigendum: Network-based prediction of anti-cancer drug combinations

Jue Jiang1, Xuxu Wei2, YuKang Lu1

  • 1School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.

Frontiers in Pharmacology
|November 19, 2024
PubMed

Insights

This study corrects a previously published article DOI. The correction ensures accurate citation and referencing for future research in pharmacology.

Area of Science:

  • Pharmacology
  • Biomedical Research

Context:

  • Correction of a published article DOI.
  • Ensuring accurate scientific record-keeping.

Purpose:

  • To rectify an error in the digital object identifier (DOI) of a published article.
  • To maintain the integrity of scientific literature.

Summary:

  • The article DOI 10.3389/fphar.2024.1418902 has been corrected.
  • This ensures proper attribution and access to the research.

Impact:

  • Facilitates accurate citation and retrieval of the research article.
  • Upholds the standards of scientific publishing and data integrity.
Keywords:
cancercommunity detectiondrug combinationnetwork proximityprotein-protein interaction network

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