Daniel Gianola, Rohan L Fernando, Chris C Schön
Inference about quantitative traits under selection: a Bayesian revisitation for the post-genomic era
Genetics, selection, evolution : GSE
paper suggest causal inference methods could efficiently used quantitative structureactivity relationships qsar modeling additional validation criteria within quality evaluation model verification relationships descriptors toxicity activity qsar model vital role understanding mechanisms action wellknown phrase correlation imply causation reflects insight statistically correlated endpoint descriptor may cause emergence endpoint hence paradigmatic shifts must undertaken moving traditional statistical correlation analysis causal analysis multivariate data methods causal discovery applied broader physical insight mechanisms action interpretation developed nanoqsar models previously developed nanoqsar models toxicity 17 nanosized metal oxides towards e coli bacteria validated means causality criteria using descriptors confirmed causal technique developed new models consistent straightforward causalreasoning account proven causal inference methods able provide robust mechanistic interpretation developed nanoqsar models