Stefan Naulaerts

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Naulaerts trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Anne-Claire Haury
  2. Michael P. Menden
  3. Jing Wang
  4. Tong He
  5. Alejandro Barredo Arrieta
  6. Pierre Gestraud
  7. James C. Costello
  8. Dexter T. Duncan
  9. Marten Heidemeyer
  10. Tianqi Chen

Papers from Stefan Naulaerts's perspective

Ordered by how strongly the researchers Stefan Naulaerts trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity (Nature)
  2. A community effort to assess and improve drug sensitivity prediction algorithms (Nature Biotechnology)
  3. XGBoost: A Scalable Tree Boosting System
  4. BioMart – biological queries made easy (BMC Genomics)
  5. Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (Information Fusion)
  6. STRING v10: protein–protein interaction networks, integrated over the tree of life
  7. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response (Nature Medicine)
  8. Points of Significance: Model selection and overfitting (Nature Methods)
  9. Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties
  10. y-Randomization and Its Variants in QSPR/QSAR (Journal of Chemical Information and Modeling)

Their papers