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Integrating literature-constrained and data-driven inference of signalling networks

Published on Oct 23, 20122535 Views

**Motivation:** Recent developments in experimental methods allow generating increasingly larger signal transduction datasets. Two main approaches can be taken to derive from these data a mathematic

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Integrating literature-constrained and data-driven inference of signalling networks00:00
Background00:07
Modelling signalling networks01:17
Aim03:17
Pipeline - 104:12
Pipeline - 204:36
Pipeline - 304:45
Pipeline - 405:26
Pipeline - 505:39
Pipeline - 605:46
Inference06:11
Inference of benchmark model - 107:14
Inference of benchmark model - 208:30
Inference of benchmark model - 308:41
Integration09:10
Weighting (and training)09:48
Application: growth and inflammatory signalling11:18
Results: tuning integration penalty11:49
Results: integrated network and fit13:13
Results: added link (example 1)14:19
Results: added link (example 2)14:21
Conclusions14:27
Open points for discussion15:16
Acknowledgements16:19