Towards a semi-automatic functional annotation tool based on decision tree techniques
coauthor:
Jean-François Gibrat,
INRA - Paris
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| Slides | |
| 0:00 | - Towards a semi-automatic functional annotation tool based on decision tree techniques - Announcement |
| 0:05 | Towards a semi-automatic functional annotation tool based on decision tree techniques |
| 0:26 | Context |
| 0:31 | Annotation : from raw data to knowledge |
| 1:59 | Annotation platform AGMIAL |
| 3:05 | Atlas view of the lactobacillus sakei genom |
| 3:36 | Pareo |
| 3:54 | Annotation platform AGMIAL |
| 3:58 | In summary - 1 |
| 4:12 | In summary - 2 |
| 4:29 | In summary - 3 |
| 4:33 | In summary - 4 |
| 4:39 | In summary - 5 |
| 5:18 | Project motivation |
| 5:22 | Goal - 1 |
| 5:28 | Goal - 2 |
| 5:32 | Goal - 3 |
| 6:01 | Goal - 4 |
| 6:14 | Goal - 5 |
| 6:23 | Goal - 6 |
| 6:33 | Data |
| 6:36 | Genomes - 1 |
| 6:51 | Genomes - 2 |
| 7:49 | Subtilist functional hierarchy - 1 |
| 8:32 | Subtilist functional hierarchy - 2 |
| 8:39 | Subtilist functional hierarchy - 3 |
| 8:55 | Genomes - 2 |
| 9:06 | Genomes - 3 |
| 9:44 | Annotation in a nutshell |
| 10:43 | Annotation rules |
| 12:29 | Machine learning techniques |
| 12:33 | Problem to be solved |
| 12:40 | Inductive logic programming framework Tilde |
| 14:03 | Relational data } attribute-value data |
| 15:14 | Multilabel probabilistic decision-tree |
| 15:49 | Evaluation measures |
| 15:53 | Hierarchical evaluation measures |
| 16:48 | Hierarchical evaluation measures - Example |
| 17:46 | Hierarchical evaluation measures |
| 18:13 | Results |
| 18:16 | Prediction parameters |
| 19:07 | Influence of threshold on hierarchical precision |
| 19:20 | Influence of threshold on hierarchical recall |
| 19:30 | Influence of threshold on hierarchical F score |
| 19:47 | Prediction parameters |
| 19:49 | Results for a 75% threshold |
| 20:55 | Multilabel probabilistic decision tree |
| 21:06 | TILDE decision trees |
| 21:08 | Example of rule : protein 1739 of L sakei - 1 |
| 22:39 | Example of rule : protein 1739 of L sakei - 2 |
| 22:52 | Example of rule : protein 1739 of L sakei - 3 |
| 23:00 | Example of rule : protein 1739 of L sakei - 4 |
| 23:06 | Perspectives |
| 23:10 | Conclusions – perspectives |
| 25:15 | - Questions |
| 25:43 | - Questions |
| 26:01 | - Questions |
| 27:04 | - Questions |
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