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Efficient, data-based network inference using a linear programming approach

Published on Oct 23, 20122926 Views

Bettina Knapp

**Motivation:** In the recent years, technical developments enabled the facilitated measurements of biological high-throughput data. This results in a qualitative and a quantitative improvement of th

MLSB 2012 - Basel

Related categories

Linear ModelsOncology

Chapter list

Efficient Network Inference using a Linear Programming Approach00:00
Multiple pathways to oncogenesis00:31
ERBB signaling pathway02:02
Trastuzumab Pathway03:00
RNA interference (RNAi)04:28
The ERBB family of receptor tyrosine kinase05:32
Network Inference - 106:10
Network Inference - 207:18
LP Model assumptions08:41
LP Model constraints09:20
LP-SF Model11:30
Simulations12:52
Results 10-node networks14:15
Results large-scale networks14:49
Run time15:11
Noisy Data: 10 node-nw15:55
Incomplete Data: 10 node-nw16:27
LP Model constraints if prior knowledge is available17:03
Prior knowledge integration: 10 node-nw18:18
ERBB signaling data - 119:00
ERBB signaling data - 219:24
Summary20:08
Thank you for your attention!22:04