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omics

  • 网络组学
omicsomics
  1. Omics Technologies and Their Applications in Chinese Medicine Research and Development

    充分利用组学技术研究及发展中医药

  2. Based on these facts , the research can be accomplished by means of omics method with high throughput .

    针对这一现状,可以利用具备高通量特点的组学研究手段来解决这一问题。

  3. Potentiality of " Omics " Techniques for the Detection of Unintended Effects in Genetically Modified Crops

    利用组学技术检测转基因作物非期望效应的潜在性

  4. The development of Omics has produced a huge amount of data . Innovation of Bleaching Process and Control of AOX Amount Produced

    组学的发展,带来了海量的数据,对海量数据的处理亟需系统论意义指导下的还原分析;控制AOX的产生量

  5. NN : So there are two components : the upfront biological and there is something called omics .

    尼文o纳雷因:所以它有两个组成部分:首先是生物信息,然后还有所谓的组学。

  6. Metabonomics , as a novel " - omics " technology in the post gene era , has become an important branch of system biology .

    代谢物组学作为后基因时代的一种全新的组学技术。

  7. We believe all of these things have to be put together to tell the whole story of your omics - the full profile of you .

    所以我们认为,这些东西应该综合起来,才能完整描绘你的组学,即你的整体资料。

  8. This platform is a pre-trial for human liver organelle proteome , which is also worthy to other " omics " research .

    这些平台的建立为下一步人类肝脏细胞器蛋白质组研究做了相应的准备,而且这种细胞器分离及数据分析的策略对于其他组学研究而言也具有一定的参考意义。

  9. The life activities usually exist in the metabolism level in the cells , so metabonomics is thought the termination of the ' omics ' .

    细胞内的生命活动大多发生于代谢层面,故代谢组学被认为是组学研究的最终方向。

  10. If we understand biology from genomics and omics and wireless through physiologic phenotyping , that 's big .

    如果我们通过生理表现型,基因组学、生命组学以及无线来理解生物学,这将是很震撼的事情。

  11. We usually adopt methods based on canonical correlation analysis or partial least-squares regression ( PLS ) to integrate omics data sets due to their acceptable computational performance .

    我们通常采用基于典型相关分析或偏最小二乘回归(PLS)的方法融合组学数据,因为它们的计算性能比较好。

  12. We proposed a Localized-Statistic-Based Approach for identifying biomarker of omics data , which improving the the efficiency of biomarker selection . 4 .

    在本文中,我们给出一种基于局部统计的组学数据的生物标记物验证方法,该方法可以有效的提高生物标记物的挑选效率。

  13. The technological revolution makes genetics into a new era called ' - omics ' . A large number of genetic data have been produced through the application of the microarray technology .

    技术的革命将遗传学的研究引入了组学的时代,通过芯片技术的运用产生了大量的遗传数据。

  14. Recently , the complete genome sequence of Y. lipolytica has been determined and the omics data of Y. lipolytica are accumulated day by day .

    目前,解脂耶氏酵母的全基因组序列已经测序,其组学信息日益积累。

  15. Pathway prediction is the basis of various types of omics in post-genomic era . With the extreme importance , it has become one of the focuses of bioinformatics in recent years .

    pathway预测是后基因组时代各类组学研究的基础,已成为近年来生物信息学的研究热点之一。

  16. Omics - it 's a fairly new term . It means you 're going beyond just the genome . It means all the omics - proteomics , metabolomics , and proteins .

    组学是一个相对较新的术语,它意味着你不能仅仅盯着基因组,而是所有的组&比如蛋白质组、代谢组等等。

  17. With the development of biology technology , life science has entered the era of system biology based on omics analysis . For a fast , integrated and high throughput data analysis , we introduce state-of-the-art data mining technology - workflow into biology data analysis .

    生命科学的发展已经进入到了一个建立在各种组学基础上的系统生物学时代,为了更快、更全面地进行大规模、特色数据分析,引入了先进的数据挖掘技术&工作流技术。

  18. However , because of the complexity of the biological processes , particularity and the high throughput omics data , we still need to do plenty of further work about statistical characters and biological explanation performance of sPLS in terms of theory and practice .

    然而,由于生物过程的复杂性、特殊性和数据的高通量性,sPLS方法尚需要在统计学和生物解释方面做进一步的理论和实践工作。

  19. The recent status of cardiology in Taiwan province reported in the 4th Cardiovascular Academic Conference Both Sides of the Taiwan Straits is reviewed , including the clinical treatment and basic researches of cardiovascular diseases , and the new progresses of cardiology in the Omics world .

    综述了第4届海峡两岸心血管病学学术研讨会关于台湾省心脏病学近况,包括心血管病的临床治疗、基础研究和欧密克斯世界里心血管学新的进展。

  20. They 're leading companies focused on proteins or analytics , but there isn 't one company we can identify or know of that has taken the biology , the omics , the clinical capability and put it all into an interrogative platform to really allow for a robust understanding of the biology to discover drugs in a different way .

    他们是一些蛋白质和分析学上的顶尖公司,但我们目前还没有发现哪家公司把有关的生物学、组学研究和临床能力整合到一个疑问型平台上,来对人体产生坚实的理解,并以一种新的方式开发药物。