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机译:通过集成的转录因子的基因 - 相互作用和监管网络分析阐明微阵列数据内的功能语境
Genomatix Software GmbH Munich Germany University of Michigan Internal Medicine-Nephrology;
Genomatix Software Inc. Ann Arbor MI United States Wayne State University School of Medicine;
Department of Pharmacology and Toxicology School of Medicine The Jackson Center for Heart;
Department of Pharmacology and Toxicology School of Medicine The Jackson Center for Heart;
Department of Pharmacology University of Iowa College of Medicine Iowa City IA United States;
Department of Pharmacology and Toxicology School of Medicine The Jackson Center for Heart;
Department of Pharmacology and Toxicology School of Medicine The Jackson Center for Heart;
High-throughput (HT) approaches; Microarray data analysis; Transcription factor binding sites; Transcription factor-gene networking; Transcription factors;
机译:通过整合转录因子为中心的基因相互作用和调控网络分析,阐明微阵列数据中的功能背景
机译:通过对数线性模型对时程微阵列数据和DNA序列数据进行综合分析,以识别动态转录调控网络
机译:多拉普拉斯先验和增强拉格朗日方法对时变基因和基因芯片数据转录调控网络的探索性分析
机译:基于微阵列数据和转录因子分析比较癌症和正常基因监管网络
机译:分析时程微阵列数据以动态推断基因调控网络。
机译:通过整合转录因子为重点的基因相互作用和调控网络分析阐明微阵列数据中的功能背景
机译:根据转录因子分析和条件独立性,从微阵列数据中识别出前列腺癌中重要的基因调控网络