遗传科学的核心是一个高见：基因序列中可识别的变异可以预测一个人学习、推理和解决问题的能力。
Central to hereditarian science is a tall claim: that identifiable variations in genetic sequences can predict an individual's aptness to learn, reason and solve problems.
除了提供一个潜在的方法来预测谁可能活到100岁，调查结果表明遗传在能活到极端老龄中起着重要的作用。
In addition to providing a potential way to predict who might live into their 100s, the findings suggest that genetics play a major role in surviving to extreme old age.
这些公司怎样保证基因分型结果的准确性？又怎样保证风险预测的结果建立在实实在在的遗传和流行病学统计数据上？
How do the companies ensure that their genotyping is accurate and their risk predictions are based on solid genetic and epidemiological statistics?
科学家不确定遗传在肥胖上面起多大的作用，但是预测它所占比例从最低20%到最高90%。
Scientists are unclear as to how much of a role genetics plays in how chubby you are, but estimates range from as low as 20 percent to as high as 90 percent.
1986年，Bodmer预测道：人类基因将允许表征为“…一万个左右的基本遗传功能…”。
In 1986 Bodmer predicted: the human genome would allow the characterization of "... 10, 000 or so basic genetic functions..."
此一冬季使流感病毒有机会混合，并有可能以难以预测的方式交换其遗传物质。
The current winter season gives influenza viruses an opportunity to inter-mingle and possibly exchange their genetic material in unpredictable ways.
这项研究可能帮助妇女确定他们是否有更年期提前遗传倾向，因此预测其生殖生命的结束时间。
The research could help women determine whether they have a genetic predisposition to early menopause, and therefore predict the time of the end of their reproductive life.
结果：对遗传神经网络模型所预测的最佳分离条件进行实验，获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
科学家们预测，如果上述临床试验成功，该项技术将改变许多疾病的治疗方式，使遗传治疗第一次成为医学的一个常规部分。
If they are successful, scientists predict that the technique could change the way many diseases are treated, making genetic therapies a routine part of medicine for the first time.
这些广泛发生的遗传效应无法预测或无法控制。
These widespread genetic effects are not predictable or controllable.
行为遗传学告诉我们即使在个人的范围上很多生活中的结果都似乎是路径依赖性的，或者仅仅是无法预测的，即使是同卵双生的人。
Behavior genetics tells us that even on the scale of individuals a great deal of life outcomes seem path dependent, or simply unpredictable, even for identical twins.
摘要：通过神经网络的建模，建立的遗传神经网络的预测系统。
Abstract: : By modeling and neural network, we built the prediction system of genetic neural network.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
药物基因组学是运用个体或群体的遗传信息来预测某种药物的安全性、毒性和有效性的科学。
Pharmacogenomics is the study of how to predict a drugs reliability, toxicity, and effectiveness based on an individual or a populations genetic information.
研究领域包括打浆过程的机理建模、基于遗传编程的打浆过程建模、预测控制、预测推断控制等。
Related topics include first principle based and genetic programming (GP) based modeling of refining process, predictive control, predictive inferential control, etc.
简要地介绍了模拟退火算法，遗传算法，人工神经网络和图论算法在蛋白质结构预测中的应用。
The paper briefly introduces some modern optimum algorithms of simulated annealing, genetic algorithms, neural networks and graphic algorithms in and applied in prediction of protein structure.
运用调整无偏预测(aup)法预测遗传主效应值和GE互作效应值，并用于QTL定位。
Genetic main effects and GE interaction effects were predicted by an adjusted unbiased prediction (AUP) method and used in QTL mapping.
探讨了遗传距离对向日葵亲本选配和杂种优势预测的可能性及实用价值。
The possibility and practical value of the forecast of parents selection and hybrid vigour of sunflower were discussed.
在用遗传方法对灰色理论建模数据进行全局优化的基础上，建立了预测冻结法施工中外层井壁承受冻结压力发展趋势的智能灰色理论模型。
On the basis of the global optimization of data which is used to build up mold, the artificial intelligent grey theory mold was established to forecast the freeze pressure development trend.
提出一种基于遗传神经网络的主机负载预测模型，并基于该模型设计了集中式任务调度算法CJD - HLP。
A host load prediction model based on heredity-neural network is proposed, and center task scheduling algorithm CJD-HLP based on the model is designed.
提出一种基于遗传神经网络的主机负载预测模型，并基于该模型设计了集中式任务调度算法CJD - HLP。
A host load prediction model based on heredity-neural network is proposed, and center task scheduling algorithm CJD-HLP based on the model is designed.
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