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Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data
Published on Oct 08, 20074331 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
Chapter list
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