DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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Browsing by Author Pyne, S.
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) | Text |
|---|---|---|---|
| - | Automated high-dimensional flow cytometric data analysis | Pyne, S.; 林宗儀; Hu, X.L.; Wang, K.; Rossin, E.; Lin, T.I.; Maier, L.M.; Baecher-Allan, C.; McLachlan, G.J.; Tamayo, P.; Hafler, D.A.; De Jager, P.L.; Mesirov, J.P. | - |
| - | A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues | Rossin, E.; 林宗儀; Lin, T.I.; Ho, H.J.; Mentzer, S.J.; Pyne, S. | - |
| - | Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms | Ho, H.J.; Pyne, S.; Lin, T.I. | - |
| - | Parametric modeling of cellular state transitions as measured with flow cytometry | Ho, H.J.; Lin, T.I.; Chang, H.H.; Haase, S.B.; Huang, S.; Pyne, S. | - |