Model selection in the reconstruction of regulatory networks from time-series dataService Bioinformatique, Institut Curie, 26 Rue d'Ulm, 75248 Paris Cedex 05, France
BMC Research Notes 2009, 2:68doi:10.1186/1756-0500-2-68
Additional filesAdditional file 1: Kernel functions. Rationale for using the kernel functions from Table 1. Format: PDF Size: 80KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 2: Identifiability note. Discussion on the parameter identifiability for the developed models. Format: PDF Size: 49KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 3: Modified forward selection (FS) algorithm. Description and testing of the modified version of the FS algorithm. Format: PDF Size: 82KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 4: Adaptive model selection (AMS). Description of the AMS algorithm to identify the kernel function that reconstructs the prior links with the highest accuracy. Format: PDF Size: 49KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 5: Simulated and experimental data. Details on the artificial and real systems used for testing and description of the testing procedure. Format: PDF Size: 107KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 6: Independent artificial data. Testing of the AMS algorithm using independent set of artificial data described in [5]. Format: PDF Size: 77KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 7: Discussion. Discussion and perspectives for further research. Format: PDF Size: 79KB Download file This file can be viewed with: Adobe Acrobat Reader |




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