Tringe Susannah G, Wagner Andreas, Ruby Stephanie W
Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Genome Biol. 2004;5(4):R29. doi: 10.1186/gb-2004-5-4-r29. Epub 2004 Mar 30.
Here we build on a previously proposed algorithm to infer direct regulatory relationships using gene-expression profiles from cells in which individual genes are deleted or overexpressed. The updated algorithm can process networks containing feedback loops, incorporate positive and negative regulatory relationships during network reconstruction, and utilize data from double mutants to resolve ambiguous regulatory relationships. When applied to experimental data the reconstruction procedure preferentially retains direct transcription factor-target relationships.
在此，我们基于先前提出的一种算法，该算法利用单个基因被敲除或过表达的细胞的基因表达谱来推断直接调控关系。更新后的算法能够处理包含反馈回路的网络，在网络重建过程中纳入正向和负向调控关系，并利用双突变体的数据来解决模糊的调控关系。当应用于实验数据时，重建过程优先保留直接的转录因子-靶标关系。
