为一包含了许多多重序列校准，以及“隐藏式马尔科夫模型”的巨大集合，里面涵盖了许多常见的蛋白质家族。
Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.
这里有一点不对称：封装多重参数通常会创建一个元组，而拆封操作可以作用于任何序列。
There is a small bit of asymmetry here: packing multiple values always creates a tuple, and unpacking works for any sequence.
Axis提供了许多重要的功能，包括处理程序、链、序列化器和反序列化器。
Axis provides a number of important features that include handlers, chain, serializers, and deserializers.
计算结果表明，睡眠脑电序列具有长程相关性，而且是多重分形过程。
The result shows that the sleep EEG series has the multifractal features as well as long range correlation.
从NCBI的数据库最近的同源性多重路线人士透露，单链抗体的获得的新序列。
Multiple alignments with the nearest homologies from the NCBI databases have revealed that the sequences of ScFv obtained are new.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
提出了一种新的概率函数计算方法，用于研究金融时间序列在方差波动方面的多重分形特征。
A new probabilistic function for studying the multi-fractal features on the volatility of variance of financial time series is proposed.
多重线性中心多项式在PI—环论研究中扮演了一个非常重要的角色。引入矩阵序列及m次换位子的概念研究了矩阵环的多重线性中心多项式。
Multilinear central polynomials play a very important role in PI-theory. Introduce the concept of matrix sequence and k-commutator and study the multilinear central polynomials of matrix rings.
高效的RNA序列操作(例如多重比对)需要被RNA结构折叠的规则限制。
Efficient RNA sequence manipulations (such as multiple alignments) need to be constrained by rules of RNA structure folding.
采用新型多重分支时间延迟神经网络进行混沌时间序列预测研究。
A new multi-branch time delay neural network is adopted to conduct prediction research on chaotic time series.
第四部分是多重分形谱参数在预测高频股价时间序列在下一个交易周波动幅度方面的应用。
The theoretical anomalous characteristics of multifractal spectra on high-frequency stock-price time series are firstly deduced during prices fluctuate sharply.
设计和搜索多重引物，包括PCR引物、序列探针和测序引物。
Design and search primers for multiple applications including PCR, DNA hybridization and sequencing.
对原始收益率序列进行置乱操作和替代数据处理，发现收益率序列的分布特征是多重分形谱产生的重要原因。
After original returns series are conducted by permuting and surrogate data, it is found that distributing character of returns is important source of multifractal spectrums.
在这部分本文提出了股票数据多重分形特征值的概念，可以用一对多重分形特征值来表征股票序列的多重分形特性。
In this section, the concept of multifractal eigenvalue is proposed, so a pair of multifractal eigenvalue can represent multifractal character of stock series.
利用多重分形消除趋势分析法(MF -DFA)对纽约原油期货日收益率时间序列进行分析，发现纽约原油期货市场具有明显的多重分形特征。
The return series of New York oil futures market is analyzed based on multifractal detrended fluctuation analysis (MF-DFA) method, through which the obvious multifractal behavior has been found.
利用多重分形消除趋势分析法(MF -DFA)对纽约原油期货日收益率时间序列进行分析，发现纽约原油期货市场具有明显的多重分形特征。
The return series of New York oil futures market is analyzed based on multifractal detrended fluctuation analysis (MF-DFA) method, through which the obvious multifractal behavior has been found.
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