Work

Lessons learned in the analysis of high-dimensional data in vaccinomics

Year: 2015

Type: article

Source: Vaccine

DOI: 10.1016/j.vaccine.2015.04.088

Authors: Ann L. Oberg, Brett A. McKinney, Daniel J. Schaid, V. Shane Pankratz, Richard B. Kennedy, Gregory A. Poland

Institutions: Mayo Clinic, University of Tulsa, University of New Mexico, University of New Mexico Health Sciences Center

Language: English

Topic: vaccines and immunoinformatics approaches

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, U.S. Public Health Service, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: G1237202219, G1619336652, G319605140, G3485645910, G3720497727, G7122102122, G734569046, POPULATION GENETICS ANALYSIS PROGRAM: IMMUNITY TO VACCINES/INFECTIONS, G9000015060, G9000189309, G9000325394

OpenAlex ID: W214701871

FWCI: 2.572

Cites: 85

Cited by: 24

Related to: 10