Reply to the comment on “Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models” by D. A. Tasi, J. Csontos, B. Nagy, Z. Kónya and G. Tasi, Nanoscale , 2018, 10, C8NR02377H
Source abstract
Abstract
The application of the new methods does not lead to substantial differences in the interpretation of the structural factors.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Machine Learning in Materials Science · Computational Drug Discovery Methods · Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory of Environmental Chemometrics
Faculty of Chemistry
University of Gdansk
80-308 Gdansk
Poland
Interdisciplinary Center for Nanotoxicity
Department of Chemistry
Physics and Atmospheric Sciences
Jackson State University
Jackson
References (6)
Show source-provided references
1. Tasi · Nanoscale · 201810.1039/C8NR02377H ↗
2. Puzyn · Nat. Nanotechnol. · 2011 · 6 · 17510.1038/nnano.2011.10 ↗
3. Sizochenko · Nanoscale · 2016 · 8 · 720310.1039/C5NR08279J ↗
4. Puzyn · J. Chem. Inf. Model. · 2008 · 48 · 117410.1021/ci800021p ↗
5. Stewart · J. Mol. Model. · 2013 · 19 · 110.1007/s00894-012-1667-x ↗
6. MOPAC 2016, http://openmopac.net