New Results
Optimal Experimental Design for Big Data: Applications in Brain Imaging
Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang, Ting Xu, Cameron Craddock, Gregory Kiar, William Gray-Roncal, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Consortium for Reliability and Reproduciblity, Joshua T. Vogelstein
doi: https://doi.org/10.1101/802629
Eric W. Bridgeford
1Department of Biostatistics, Johns Hopkins University ()
Shangsi Wang
2Department of Applied Mathematics and Statistics, Johns Hopkins University
Zhi Yang
3CAS Institute of Psychology, Shanghai Jiaotong University
Zeyi Wang
4Department of Biostatistics, Johns Hopkins University
Ting Xu
5Child Mind Institute
Cameron Craddock
6Department of Diagnostic Medicine, Dell Medical School, University of Texas at Austin
Gregory Kiar
7Department of Biomedical Engineering, McGill University
William Gray-Roncal
8Johns Hopkins University Applied Physics Laboratory
Carey E. Priebe
9Department of Applied Mathematics and Statistics, Institute for Computational Medicine, Johns Hopkins University
Brian Caffo
10Department of Biostatistics, Johns Hopkins University
Michael Milham
11Childmind Institute
Xi-Nian Zuo
12CAS Institute of Psychology, Beijing Normal University, Nanning Normal University, University of Chinese Academy of Sciences
Joshua T. Vogelstein
Article usage
Posted October 13, 2019.
Optimal Experimental Design for Big Data: Applications in Brain Imaging
Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang, Ting Xu, Cameron Craddock, Gregory Kiar, William Gray-Roncal, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Consortium for Reliability and Reproduciblity, Joshua T. Vogelstein
bioRxiv 802629; doi: https://doi.org/10.1101/802629
Optimal Experimental Design for Big Data: Applications in Brain Imaging
Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang, Ting Xu, Cameron Craddock, Gregory Kiar, William Gray-Roncal, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Consortium for Reliability and Reproduciblity, Joshua T. Vogelstein
bioRxiv 802629; doi: https://doi.org/10.1101/802629
Subject Area
Subject Areas
- Biochemistry (11736)
- Bioengineering (8746)
- Bioinformatics (29186)
- Biophysics (14964)
- Cancer Biology (12084)
- Cell Biology (17401)
- Clinical Trials (138)
- Developmental Biology (9418)
- Ecology (14176)
- Epidemiology (2067)
- Evolutionary Biology (18299)
- Genetics (12235)
- Genomics (16793)
- Immunology (11863)
- Microbiology (28066)
- Molecular Biology (11580)
- Neuroscience (60925)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4956)
- Plant Biology (10422)
- Synthetic Biology (2883)
- Systems Biology (7338)
- Zoology (1650)