genetic science
英 [dʒəˈnetɪk ˈsaɪəns]
美 [dʒəˈnetɪk ˈsaɪəns]
网络 基因科学
英英释义
noun
- the branch of biology that studies heredity and variation in organisms
双语例句
- The biological genetic resources are the important foundation of the research of the biological science. They are the strategic materials for the human existence and the sustainable development of the economy and society.
生物遗传资源是生物科学研究的重要基础，是人类生存和经济社会可持续发展战略性物资。 - As a result, genetic testing in science and improve its decoding, and the sort of theory of operation, completed in chip technology and other equipment after the building;
因此，基因检测科学在完善了其解码，排序的理论和操作，在完成了芯片技术等设备建设后； - Reconstructing the face of a person who was in an accident, has suffered from cancer, or has a genetic disorder was once the subject of science fiction.
重塑因事故、罹患癌症或遗传疾病造成缺陷的面孔（一度成为科幻小说的主题）。 - As the leader of new technology, genetic science and its prospects has been related to the well-being of all mankind.
身为新科技的领航者，基因科学的发展前景关系着全人类的福祉。 - The concept of "genetic discrimination" currently lies in the realm of science fiction.
“基因歧视”这个概念目前还属于科幻小说的范畴。 - According to the contemporary knowledge of genetic science and technology, the science and technology of gene has the duality of linear and non linear properties, and it is a kind of medium between linear science and non linear science.
根据当代基因科技理论，认为基因科技本质上具有线性与非线性的二重性，是线性科学与非线性科学的一种中介； - An international research team last night reported the discovery of a new dimension to genetic variation, with important implications for medicine and basic science.
近日，一个国际研究团队宣布，发现了基因变异的一个新因素，这对医学和基础科学有着重要的意义。 - Floating genetic algorithm is an optimum method simulating the natural evolution mechanism. Floating genetic algorithm has been widely used in science and technology by virtue of its robustness, freedom of calculating the gradient of the objective function and the ability of solving multi dimensional numerical problems.
十进制遗传算法是一种模拟生物进化的最优化搜索方法，由于其稳定性好、不需要计算目标函数的导数和能处理多维数值问题，十进制遗传算法在科学研究和工程技术中得到了广泛运用。 - Emerging in the early1960s, the genetic algorithm ( and evolutionary algorithms in general) took a place in computer science between deterministic and non-deterministic algorithms.
遗传算法（以及普遍意义上的进化算法）出现在20世纪60年代早期，并在计算机科学的确定性和非确定性算法之间占据了一席之位。 - How much of intelligence can be specified, and how much can we learn about it from neurology, genetic, computer science and other fields?
有多少智力能被具体化，我们能从神经学、遗传学、计算机科学和其他领域学到多少呢？