2.前信息娱乐控制模块(FICM)F I C M位于左前座椅下方,如图9所示。前信息娱乐控制模块(F I C M)作为一个单独单元安装,它包括单独的信息娱乐计算控制模块(ICCM)(CPU/调制解调器)和信息娱乐网关模块(IGM)(与车辆相连)。系统硬件的设计顺...2.前信息娱乐控制模块(FICM)F I C M位于左前座椅下方,如图9所示。前信息娱乐控制模块(F I C M)作为一个单独单元安装,它包括单独的信息娱乐计算控制模块(ICCM)(CPU/调制解调器)和信息娱乐网关模块(IGM)(与车辆相连)。系统硬件的设计顺应未来潮流,采用模块化设计,ICCM是一个可拆卸的卡盒。展开更多
Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell's mechanism.The development of the yeast two-hybrid,tandem affinity purification,and mass spectrometry high...Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell's mechanism.The development of the yeast two-hybrid,tandem affinity purification,and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data,which make it possible to predict overlapping complexes through computational methods.Research shows that overlapping complexes can contribute to identifying essential proteins,which are necessary for the organism to survive and reproduce,and for life's activities.Scholars pay more attention to the evaluation of protein complexes.However,few of them focus on predicted overlaps.In this paper,an evaluation criterion called overlap maximum matching ratio(OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules.Comparison of essential proteins and gene ontology(GO) analysis are also used to assess the quality of overlaps.We perform a comprehensive comparison of serveral overlapping complexes prediction approaches,using three yeast protein-protein interaction(PPI) networks.We focus on the analysis of overlaps identified by these algorithms.Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.展开更多
文摘2.前信息娱乐控制模块(FICM)F I C M位于左前座椅下方,如图9所示。前信息娱乐控制模块(F I C M)作为一个单独单元安装,它包括单独的信息娱乐计算控制模块(ICCM)(CPU/调制解调器)和信息娱乐网关模块(IGM)(与车辆相连)。系统硬件的设计顺应未来潮流,采用模块化设计,ICCM是一个可拆卸的卡盒。
基金Project supported by the National Scientific Research Foundation of Hunan Province, China （Nos. 14C0096, 10C0408, and 10B010）, the Natural Science Foundation of Hunan Province, China （Nos. 13JJ4106 and 14J J3138）, and the Science and Technology Plan Project of Hunan Province, China （No. 2010FJ3044）
文摘Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell's mechanism.The development of the yeast two-hybrid,tandem affinity purification,and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data,which make it possible to predict overlapping complexes through computational methods.Research shows that overlapping complexes can contribute to identifying essential proteins,which are necessary for the organism to survive and reproduce,and for life's activities.Scholars pay more attention to the evaluation of protein complexes.However,few of them focus on predicted overlaps.In this paper,an evaluation criterion called overlap maximum matching ratio(OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules.Comparison of essential proteins and gene ontology(GO) analysis are also used to assess the quality of overlaps.We perform a comprehensive comparison of serveral overlapping complexes prediction approaches,using three yeast protein-protein interaction(PPI) networks.We focus on the analysis of overlaps identified by these algorithms.Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.
