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Dynamic Modelling of Microarray Data
Published on Apr 04, 20076232 Views
We recently released rHVDM (Hidden Variable Dynamic Modelling), an R/Bioconductor package that predicts targets of a known transcription factor using time course microarray data. The key feature behin
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Chapter list
Dynamic modelling of microarray data.00:03
Outline00:25
Gene expression model01:00
Algorithm Principle:02:44
slide503:41
The p53 network04:13
Experimental setup04:51
Results of training step: activity profile of p5305:30
Screening06:20
TITLE07:00
P21: part of training set07:58
Verification experiment09:17
Ingredients needed10:32
ODE integration11:44
2) Model fitting13:28
Fitting algorithms:14:49
Difference between MCMC and LM confidence intervals.14:56
Importance of confidence intervals15:25
Parameter count reduction / identifiability16:20
Confidence intervals importance II17:25
Measurement error18:42
Acknowledgements20:21