Statistical evaluation of the predictive toxicology challenge

By Hannu (TT) Toivonen, A. Srinivasan, R. King, S. Kramer, C. Helma. 2000

119 citations recorded by the source corpus.

Subfields: Statistics and Probability, Computational Chemistry & Drug Discovery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Shubhendu Trivedi
2. Risi Kondor
3. Horace Pan

In Computational Chemistry & Drug Discovery

1. Brandon M. Anderson
2. Shubhendu Trivedi
3. Risi Kondor
4. Horace Pan
5. Maurice Weiler
6. Tess E. Smidt
7. Alexander V. Shapeev
8. Max Welling

Citations in the corpus

• Covariant Compositional Networks For Learning Graphs (2018, background): “…(Debnat et al., 1991); (b) PTC, which consists of 344 chemical compounds that have been tested for positive or negative toxicity in lab rats (Toivonen et al., 2003); (c) NCI1 and NCI109, which have 4110 and 4127 compounds respectively, each screened for activity against small cell lung…”
• The Multiscale Laplacian Graph Kernel (2016, methodology): “Method MUTAG[21] PTC[22] ENZYMES[2] PROTEINS[2] NCI1[23] NCI109[23] WL 84.”