Research map / Probabilistic and scientific modeling / Molecules and proteins
Systematically Exploring Associations among Multivariate Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Test pair (x2,y1) with r2_MI instead of true R2 | r2_MI · Simulated ex.1 | score vs true R2: 0.992 | Hurt |
| Use nCor on pair (x1x2,y1) versus single variable x2 | nCor · Simulated ex.1 | nCor: 0.31 -> 0.88 | Helped |
| Add x3 to the pair x1x2 using nCor | nCor · Simulated ex.2 | nCor: 0.21 -> 0.9289 | Helped |
| nCor vs MIC on detecting x1-y1 association | nCor · Simulated ex.1 | detection: 0.134 | Helped |
| RDC for interaction ranking in example 2 | RDC · Simulated ex.2 | score ordering: 0.730 | Hurt |
| COI ratio versus theoretical variance ratio | COI · Simulated ex.2 | COI ratio: 2.9 | Helped |
| COI ratio for x2x3 versus theoretical | COI · Simulated ex.2 | COI ratio: 0.52 | Helped |
| Use COE to check redundancy of x3 in example 4 | COE · Simulated ex.4 | COE | Helped |
| Compare nCor with Cor2 on non-monotonic relation (government health expenditure vs infant mortality) | nCor · WHO data | Cor2 vs nCor: 0.221 -> 0.621 | Helped |
| Compare nCor with Cor2 on categorical variable (continent) | nCor · WHO data | Cor2 vs nCor: 0 -> 0.615 | Helped |
| Add second variable xj to xi for injury years lost | nCor · WHO data | R2 (ANN): 0.0295 -> 0.7211 | Helped |
| Compare nCor to ANN R2 on life expectancy relation | nCor · WHO data | R2: 0.832 vs 0.8474 | No clear effect |
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