Feature context-dependency and complexity-reduction in probability landscapes for integrative genomics

doi:10.1186/1742-4682-5-21

Theoretical Biology and Medical Modelling

Volume 5

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Feature context-dependency and complexity-reduction in probability landscapes for integrative genomics

Annick Lesne¹ and Arndt Benecke¹^,2

¹Institut des Hautes Études Scientifiques, Bures-sur-Yvette, France

²Institut de Recherche Interdisciplinaire – CNRS USR3078 – Université Lille I, France

author email corresponding author email

Theoretical Biology and Medical Modelling 2008, 5:21doi:10.1186/1742-4682-5-21


Published:	10 September 2008

Additional files

Additional file 1:

File provides the probe IDs, the associated raw signal estimates of the two times three biological replicates (C1, C2, C3) of the two biological conditions (B+, B-), the probability profiles, and the Kullback-Leibler divergence estimates for the transcriptome data described in [8]. This first file contains the entire dataset of 31710 probes analyzed.

Format: TXT Size: 6MB Download file

Additional file 2:

Format: TXT Size: 177KB Download file

Additional file 3:

File provides the probe IDs, the associated raw signal estimates of the two times three biological replicates (C1, C2, C3) of the two biological conditions (B+, B-), the probability profiles, and the Kullback-Leibler divergence estimates where the above mentioned 899 p53 modulated probes were swapped between the two biological conditions.

Format: TXT Size: 6MB Download file