Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.

ABSTRACT:

Background

As a result of recent advances in biotechnology, many findings related to intracellular systems have been published, e.g., transcription factor (TF) information. Although we can reproduce biological systems by incorporating such findings and describing their dynamics as mathematical equations, simulation results can be inconsistent with data from biological observations if there are inaccurate or unknown parts in the constructed system. For the completion of such systems, relationships among genes have been inferred through several computational approaches, which typically apply several abstractions, e.g., linearization, to handle the heavy computational cost in evaluating biological systems. However, since these approximations can generate false regulations, computation

SUBMITTER: Hasegawa T 

PROVIDER: S-EPMC4371723 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature