Uncovering Heterogeneous Effects via Localized Feature Selection.
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| Title: | Uncovering Heterogeneous Effects via Localized Feature Selection. |
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| Authors: | Liu X; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA., Gu J; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA., Chen Z; Department of Statistics, Stanford University, Stanford, CA 94305, USA., Chu B; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Liu L; Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15260, USA., Morrison T; Department of Statistics, Stanford University, Stanford, CA 94305, USA., Butler RR 3rd; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA., Edelson J; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Li J; Department of Statistics, Stanford University, Stanford, CA 94305, USA., Longo FM; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA., Tang H; Department of Genetics, Stanford University, Stanford, CA 94305, USA., Ionita-Laza I; Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032, USA., Sabatti C; Department of Statistics, Stanford University, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Candès E; Department of Statistics, Stanford University, Stanford, CA 94305, USA.; Department of Mathematics, Stanford University, Stanford, CA 94305, USA., He Z; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94305, USA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Jun 07. Date of Electronic Publication: 2025 Jun 07. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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