New Results
Harnessing phenotypic networks and structural equation models to improve genome-wide association analysis
View ORCID ProfileMehdi Momen, View ORCID ProfileMalachy T. Campbell, View ORCID ProfileHarkamal Walia, View ORCID ProfileGota Morota
doi: https://doi.org/10.1101/553008
Mehdi Momen
1Department of Animal and Poultry Science, Virginia Polytechnic Institute and State University, Blacksburg VA 24061
Malachy T. Campbell
1Department of Animal and Poultry Science, Virginia Polytechnic Institute and State University, Blacksburg VA 24061
2Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583
Harkamal Walia
2Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583
Gota Morota
1Department of Animal and Poultry Science, Virginia Polytechnic Institute and State University, Blacksburg VA 24061
Posted February 18, 2019.
Harnessing phenotypic networks and structural equation models to improve genome-wide association analysis
Mehdi Momen, Malachy T. Campbell, Harkamal Walia, Gota Morota
bioRxiv 553008; doi: https://doi.org/10.1101/553008
Subject Area
Subject Areas
- Biochemistry (11753)
- Bioengineering (8752)
- Bioinformatics (29201)
- Biophysics (14974)
- Cancer Biology (12100)
- Cell Biology (17413)
- Clinical Trials (138)
- Developmental Biology (9422)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18309)
- Genetics (12245)
- Genomics (16804)
- Immunology (11869)
- Microbiology (28098)
- Molecular Biology (11596)
- Neuroscience (60975)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)