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Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data
Published on 2007-10-084335 Views
The progression of many biological and medical processes such as disease and development are inherently temporal in nature. However many datasets associated with such processes are from cross-section
Presentation
Making Time: Pseudo Time-Series for the Temporal Analysis of Cross-Section Data 00:00
Cross-Section Data pt 100:37
Cross-Section Data pt 201:26
Cross-Section vs Longitudinal02:37
Pseudo Time-Series Models pt 103:10
Pseudo Time-Series Models pt 204:06
Multi-Dimensional Scaling04:57
Minimum Spanning Tree05:13
PQ-Tree05:32
Dynamic Bayesian Network Classifiers06:50
Pseudo Time-Series Models07:42
The Datasets08:22
B-Cell: MDS & Pseudo Time-Series09:19
Expert Knowledge10:02
B-Cell Accuracy10:47
Visual Field: MDS & Pseudo Time-Series11:58
VF Accuracy12:51
Related Work13:19
Conclusions13:50
Future Work14:21
Multiple Trajectories14:49
Acknowledgements15:57