Home / Research Articles Hub / SynergyFinder Plus: Toward Better Interpretation a...
🤖 Artificial Intelligence OpenAlex

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets

📅 Published: January 24, 2022 👤 Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh et al. 📖 Genomics Proteomics & Bioinformatics 📊 678 citations
AI-Generated Summary

Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. These annotations will improve the interpretation of the mechanisms of action of drug combinations.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets.
  • 2 Here, we report the major updates to the SynergyFinder R package for improved interpretation and annotation of drug combination screening results.
  • 3 Unlike the existing implementations, the updated SynergyFinder R package includes five main innovations.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 24, 2022
Journal Genomics Proteomics & Bioinformatics
DOI 10.1016/j.gpb.2022.01.004
Citations 678
Authors Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, Alina Malyutina, Tolou Shadbahr