feat: add SEED gene-selection pipeline for cancer prognosis target ge… - #67
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…nes (#57) Implement the SEED method (Yang et al., Cancer Letters 2025) as a four-step pipeline integrated into bregr: - br_seed_screen(): Univariate screening (Cox/logistic/Spearman) per gene across multiple clinical indicators, with p-value intersection - br_seed_select(): Lasso (glmnet) -> multivariate -> stepwise gene selection - br_seed_model(): Risk score model construction with coefficient extraction - br_seed(): All-in-one orchestrator with optional enrichment step All functions reuse existing br_pipeline() engine for batch regression, support mirai parallelization, and return S3 list objects with cli print methods. Adds glmnet and clusterProfiler to Suggests. Co-Authored-By: Claude <noreply@anthropic.com>
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…nes (#57)
Implement the SEED method (Yang et al., Cancer Letters 2025) as a four-step pipeline integrated into bregr:
All functions reuse existing br_pipeline() engine for batch regression, support mirai parallelization, and return S3 list objects with cli print methods. Adds glmnet and clusterProfiler to Suggests.