WrapEvoFS enables auditable feature compression with regret-constrained representative locking
Year: 2026
Type: preprint
Abstract: WrapEvoFS provides a deterministic, auditable rule for choosing one feature set from repeated stochastic searches. It retains candidates within a prespecified development-score gap, selects the most representative set by feature overlap, and records the decision before held-out evaluation. A corrected genetic objective preserves score ordering lost through zero truncation. In a fully nested four-class cancer analysis, all 30 locked signatures met the 0.01 tolerance, and 11 differed from the highest-scoring candidate; every changed selection increased mean feature overlap within the eligible pool. Paired differences in area under the receiver operating characteristic curve against recursive feature elimination with cross-validation all had 95% intervals crossing zero. No selector dominated matched comparisons on feature count and predictive performance, and one-time evaluation of frozen signatures at held-out centers yielded heterogeneous effects. WrapEvoFS standardizes selection within a fixed candidate bank under an empirical score-gap constraint, enabling reproducible reporting of performance, compression, and feature-agreement trade-offs without implying predictive superiority or stability under changes in participant composition.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Northern California Institute for Research and Education, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research, National Institute on Aging, Janssen Alzheimer Immunotherapy Research And Development
Awards: Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's Disease, G2859657810, G3270130488, G4050039809, G4079001475, Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type Dementias, Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer Disease, AMP-AD Brain Proteomic Network Enhancement, Validation, and Translation into CSF Biomarkers, Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-AD, Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targets, A Systems Approach to Targeting Innate Immunity in AD, Metabolic Networks and Pathways in Alzheimer's Disease, G8814573196, Alzheimer's Disease Neuroimaging Initiative (ADNI4)
OpenAlex ID: W7219721578