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Machine Learning in Systems Biology
Pascal

Identification of overlapping biclusters using probabilistic relational models

coauthor: Hui Zhao, K. U. Leuven
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Slides
0:00 - Identification of overlapping biclusters using Probabilistic Relational Models - Announcement
0:07 Identification of overlapping biclusters using Probabilistic Relational Models
1:22 Overview
1:51 - Biclustering and biology
1:57 Biclustering and biology - 1
3:19 Biclustering and biology - 2
4:08 - Probabilistic relational models
4:12 Probabilistic relational models (PRMs) - 1
4:52 Probabilistic relational models (PRMs) - 2
6:15 - ProBic biclustering model
6:20 ProBic biclustering model: notation
7:02 ProBic biclustering model - 1
7:59 ProBic biclustering model - 2
10:03 ProBic biclustering model - 3
10:41 ProBic biclustering model - 4
10:42 - Algorithm
11:36 - Algorithm
11:42 Algorithm: choices
12:26 Algorithm: expectation-maximization
13:35 - Results
13:37 Algorithm: simple example
13:57 - Results
14:07 Results: noise sensitivity
14:54 Results: noise sensitivity
15:51 Results: bicluster shape independence - 1
16:20 Results: bicluster shape independence - 2
16:30 Results: overlap examples
17:23 Results: missing values - 1
18:15 Results: missing values - 2
19:01 Results: missing values - 3
19:45 - Conclusion
19:49 Conclusion
20:46 Acknowledgements
21:12 - Questions

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