New Results
BEES: Bayesian Ensemble Estimation from SAS, a SASSIE-web Module
Samuel Bowerman, Joseph E. Curtis, Joseph Clayton, Emre H. Brookes, View ORCID ProfileJeff Wereszczynski
doi: https://doi.org/10.1101/400168
Samuel Bowerman
1Department of Physics and the Center for Molecular Study of Condensed Soft Matter, Illinois Institute of Technology, Chicago, IL 60616
Joseph E. Curtis
2NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899
Joseph Clayton
1Department of Physics and the Center for Molecular Study of Condensed Soft Matter, Illinois Institute of Technology, Chicago, IL 60616
Emre H. Brookes
3University of Texas Health Science Center, San Antonio, TX 78229
Jeff Wereszczynski
1Department of Physics and the Center for Molecular Study of Condensed Soft Matter, Illinois Institute of Technology, Chicago, IL 60616
Article usage
Posted August 25, 2018.
BEES: Bayesian Ensemble Estimation from SAS, a SASSIE-web Module
Samuel Bowerman, Joseph E. Curtis, Joseph Clayton, Emre H. Brookes, Jeff Wereszczynski
bioRxiv 400168; doi: https://doi.org/10.1101/400168
Subject Area
Subject Areas
- Biochemistry (11730)
- Bioengineering (8743)
- Bioinformatics (29179)
- Biophysics (14964)
- Cancer Biology (12080)
- Cell Biology (17399)
- Clinical Trials (138)
- Developmental Biology (9417)
- Ecology (14174)
- Epidemiology (2067)
- Evolutionary Biology (18294)
- Genetics (12233)
- Genomics (16791)
- Immunology (11858)
- Microbiology (28051)
- Molecular Biology (11575)
- Neuroscience (60919)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4955)
- Plant Biology (10422)
- Synthetic Biology (2881)
- Systems Biology (7338)
- Zoology (1650)