Leveraging LASSO-based methodologies for enhanced SNP analysis in plant genomes
Key results from the paper are available at the https://github.com/DongdongHou006/LASSO-SNP. The program was implementated using Python and R, and was tested using the Digital Research Alliance of Canada.
Authors
- Nisha Puthiyedth
- Yan Yan (ORCID: https://orcid.org/0000-0002-8380-2863)
- Yue Zhang (ORCID: https://orcid.org/0000-0003-4597-9964)
- Wenjun Lin (ORCID: https://orcid.org/0000-0002-3907-1995)
- Dongdong Hou (ORCID: https://orcid.org/0000-0002-1928-0140)
- Farshad Zeinalinesaz
Institutions
- Thompson Rivers University (CA)
- University of Guelph (CA)
- Algoma University (CA)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf014
- Citations
- 2
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 1.10
Funders
- Thompson Rivers University
- Natural Sciences and Engineering Research Council of Canada