1) locus information entropy
基因座信息熵
1.
The strategies for calculating, judging and adjusting the diversity of population by calculating the locus information entropy are proposed.
结合TSP问题,提出了通过计算基因座信息熵来得到群体多样性的方法及多样性判断、调整方案,提取疫苗及接种的方法及免疫选择机制,讨论了控制参数在进化过程中的作用。
2) genotype entropy
基因型信息熵
1.
It was demonstrated that two kinds of frequency distribution on gamete and genotype were equivalent to Hardy-Weinberg equilibrium distribution with respect to limited loci in a diploid population when the gamete entropy and genotype entropy reached respective maximal possible value.
与随机交配下的Hardy-Weinberg平衡相比,如果从交配方式上对群体施以其他的外部强制,群体发展的结果是最终会达到一个不随时间变化的状态,这个状态不是平衡态而是非平衡定态,此时配子信息熵和基因型信息熵具有极小值,这种非平衡定态是一种远离无外部强制作用下Hardy-Weinberg平衡状态的状态,与群体遗传学传统观点有所不同。
2.
The gene pool entropy and the genotype entropy were introduced in this paper, associated probability distribution and associated entropy between a female parental genotypes and its descendant genotype of a complete-selfing population were defined, the characters of the associated entropy was demonstrated, and they were interpreted in informatics.
定义了复等位基因群体的基因库信息熵和基因型信息熵,给出了在完全自交下复等位基因群体随世代交替母子间基因型联合分布规律及母子间基因型联合信息熵,讨论了母子间基因型联合信息熵的性质,并从信息学角度加以解释。
3.
In this paper, the entropy of the genepool and the genotype of poly-alleles population in inbreeding were introduced, and the characters of genotype entropy were demonstrated simultaneoulsly.
研究了在近亲繁殖下复等位基因群体的基因库信息熵和基因型信息熵,并讨论了在世代交替中基因型信息熵的性质。
3) entropy-based image retrieval
基于信息熵检索
4) Information gene
信息基因
1.
After reviewing the recent progress of lossless and lossy image compression, it introduced the theory of image information structure to determine the image information gene location coefficients and information structure coefficients.
先确定图像的信息基因位置 ,再提取出图像的结构特征参数 ,这些表征图像的参数即为压缩结果 。
5) genetic information
基因信息
1.
With the rapid development of the study of biological technology,life science has entered a"post-genome era",and the protection of individual genetic information has become a new task confronting people.
随着生物技术研究的迅猛发展,生命科学进入了"后基因组时代",个人基因信息保护成为一项崭新课题摆在人们面前。
2.
The protection of the right of genetic information privacy is one of these questions.
基因信息隐私权的保护问题便是其中之一。
3.
The genetic information refers to individual genetic conditions that are obtained through genetic testing and the results of that.
基因信息是指通过基因检测技术所获得的有关个人基因状况的信息。
6) Shannom entropy
信息熵(Shannom熵)
补充资料：信息熵（informationentropy）
信息熵（informationentropy）
是信息论中信息量的统计表述。香农（Shannon）定义信息量为：`I=-Ksum_ip_ilnp_i`，表示信息所消除的不确定性（系统有序程度）的量度，K为待定常数，pi为事件出现的概率，$sump_i=1$。对于N个等概率事件，pi=1/N，系统的信息量为I=-Klnpi=KlnN。平衡态时系统热力学函数熵的最大值为$S=-ksum_iW_ilnW_i=kln\Omega$，k为玻尔兹曼常数，Wi=1/Ω为系统各状态的概率，$sum_iW_i=1$，Ω为系统状态数，熵是无序程度的量度。信息量I与熵S具有相同的统计意义。设K为玻尔兹曼常数k，则信息量I可称信息熵，为$H=-ksum_ip_ilnp_i$，信息给系统带来负熵。如取K=1，对数底取2，熵的单位为比特（bit）；取底为e，则称尼特。信息熵是生命系统（作为非平衡系统）在形成有序结构——耗散结构时，所接受的负熵的一部分。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条