An interpretable machine learning framework for dog breed inference and ancestry decomposition.
Saved in:
| Title: | An interpretable machine learning framework for dog breed inference and ancestry decomposition. |
|---|---|
| Authors: | Bian Y; Lewis-Sigler Institute for Integrative Genomics, Carl Icahn Laboratory, South Drive, Princeton University, Princeton, NJ 08544, USA., Bierman R; Lewis-Sigler Institute for Integrative Genomics, Carl Icahn Laboratory, South Drive, Princeton University, Princeton, NJ 08544, USA., Snyder-Mackler N; Center for Evolution & Medicine, Arizona State University; Tempe, AZ 85251, USA., Promislow D; Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA., Karlsson E; Genomics & Computational Biology, UMass Chan Medical School; Worcester, MA 01655, USA.; Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA 01655, USA., Akey JM; Lewis-Sigler Institute for Integrative Genomics, Carl Icahn Laboratory, South Drive, Princeton University, Princeton, NJ 08544, USA. |
| Corporate Authors: | Dog Aging Project Consortium |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 04. Date of Electronic Publication: 2026 Jun 04. |
| 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 |
Be the first to leave a comment!
