List of computer science publications by T. Waleev.
T. Waleev studies Cell Cycle, Systems Biology, and Stem cell and Regenerative medicine.
CMA is a novel software tool aiming to identify promoter-enhancer models based on the composition of transcription factor (TF) binding sites and their pairs.
Defining promoter models based on the composition of transcription factor binding sites and their pairs. Composite modules (CM) - combinations of binding ...
Results: Here we present a new approach for defining promoter models based on the composition of TF binding sites and their pairs. We utilize a multicomponent ...
Composite Module Analyst: identification of transcription factor binding site combinations using genetic algorithm. T. Waleev,1 D. Shtokalo,1 T. Konovalova,2 N.
Waleev. T. et al. Composite module analyst: identification of transcription factor binding site combinations using genetic algorithm. ,. Nucleic Acids Res ...
Example of CMA output of the composite promoter model revealed in T-cell specific promoters by optimization of the fitness function with the genetic algorithm.
From Composite Patters to Pathways - Prediction of Key Regulators ...
www.semanticscholar.org › paper
T. KonovalovaT. WaleevE. CheremushkinO. Kel-MargoulisE. Wingender. Computer Science, Biology. Bioinform. 2006. TLDR. Here a new approach for defining promoter ...
Kel A., Konovalova T., Waleev T., Cheremushkin E., Kel-Margoulis O., Wingender, E. (2006) Composite Module Analyst: a fitness-based tool for identification ...