Genetic interaction motif finding by expectation maximization – a novel statistical model for inferring gene modules from synthetic lethality
作者： Yan Qi , Ping Ye , JoelS Bader
关键词: DNA microarray 、 Genetics 、 Probabilistic analysis of algorithms 、 Genomics 、 Gene 、 Biology 、 Statistical model 、 Gene expression profiling 、 Synthetic lethality 、 Expectation–maximization algorithm
摘要: Background Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability membership in a single protein complex) may be inferred between that share synthetic lethal interaction partners than are directly lethal. Probabilistic algorithms gene modules based on motif discovery highly appropriate for the analysis genetic data and have great potential integrative heterogeneous datasets.
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