What is the translation of " 的序列数据 " in English?

series data
序列 数据
系列 数据
sequence data
序列数据

Examples of using 的序列数据 in Chinese and their translations into English

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加载时间序列数据作为Pandas序列加载。
The loaded time series data is loaded as a Pandas Series..
加载时间序列数据作为PandasSeries。
Resampling time series data with pandas.
加载时间序列数据作为PandasSeries。
The loaded time series data is loaded as a Pandas Series..
分析和处理规则和不规则时间序列数据.
Analyze and manipulate regular and irregular time series data.
分析并操作规则和不规则时间序列数据.
Analyze and manipulate regular and irregular time series data.
这里的历史数据是指过去时间序列数据
Historical data in this context is time series data from the past.
UCR时间序列数据存档,提供数据集,文件,链接和代码。
UCR Time Series Data Archive, offering datasets, papers, links, and code.
研究人员分析了来自近90,000个母体血浆样本DNA序列数据,所有细胞的血液部分已被除去。
Researchers analyzed DNA sequence data from nearly 90,000 samples of maternal plasma, the liquid portion of blood after all cells have been removed.
不满足这个期望,你仍然可以标准化你时间序列数据,但是可能不会得到可靠的结果。
You can still standardize your time series data if this expectation is not met, but you may not get reliable results.
Cube是一款开源时间序列数据可视化系统,基于MongoDB、Node和D3进行构建。
Cube is an open-source system for visualizing time series data, built on MongoDB, Node, and D3.
研究人员分析了近9万份母体血浆DNA序列数据,这些血浆是在所有细胞被移除后的液体部分。
Researchers analyzed DNA sequence data from nearly 90,000 samples of maternal plasma, the liquid portion of blood after all cells have been removed.
如此一来,汇编可靠和可比较时间序列数据,用于评估土地覆被变化,可能成为一项艰巨任务。
Compiling valid and comparable time series data that can be used to assess land cover change can be a major challenge.
Congenica公司开发了Sapientia技术平台,使得基因组级别DNA序列数据能呈现在临床可操作性的诊断报告中。
Congenica has developed Sapientia™ technology platform,which allows genome scale DNA sequence data to be presented within a clinically actionable diagnostic report.
假设你想把下面时间序列数据分成训练集和验证集:.
Suppose you want to split the time series data below into training and validation sets:.
InfluxDB是一个由Go编写的开源数据库,专门用于处理具有高可用和高性能要求时间序列数据
InfluxDB is an open-source databasewritten in Go specifically to handle time series data with high availability and high-performance requirements.
具有由metric名称和键/值对标识时间序列数据的多维数据模型.
A multi-dimensional data model with time series data identified by metric name and key/value pairs.
指标是什么?它们可以有几种形式,但对我们来说,它们是有标记时间序列数据
They can take a few forms, but for us they're tagged time series data.
TuteGenomics提供了一个基于云的基因组分析解决方案,帮助研究人员解析从人类外显子组直至基因组的序列数据
Tute genomics is offering a cloud based genome analysis solution,helping researchers interpret sequenced data from human exome and even genome.
总而言之,研究人员产生了54兆字节的序列数据,平均测序深度60X/种。
In total, the researchers produced 54 terabytes of sequencing data, with an average sequencing depth of 60X per species.
SAPHANA能够高效处理时间序列数据和其他类型的序列数据,发现一段时间内的趋势。
SAP HANA processes time-series data and other kinds of series data efficiently to discover trends over a period.
在产生的1PB(100万千兆字节)的序列数据中,约5%与人类DNA不符。
Of the 1 petabyte(1 million gigabytes) of sequence data that were generated, about 5% did not correspond to human DNA.
我们的研究充分利用了HaplotypeReferenceConsortium面板的可用性,该面板是来自超过32,000个个体的序列数据的群体参考面板。
Our research capitalized on the availability of the Haplotype Reference Consortium panel,a population reference panel of sequence data from more than 32,000 individuals.
SAPHANA才能高效补救时间序列数据和某些类型的序列数据,发现一段时间内的趋势。
SAP HANA processes time-series data and other kinds of series data efficiently to discover trends over a period.
为此,英国诺丁汉大学研究人员采用了一种便携式生物纳米孔测序仪,对人类GM12878细胞系基因组进行测序和组装,生成了91.2Gb的序列数据
In this study, researchers used a portable, biological nanopore sequencer to sequence and assemble the GM12878 human cell line genome,producing 91.2 Gb of sequence data.
如何使用scikit-learn和Keras库来自动对Python中的序列数据进行编码。
How to use the scikit-learn andKeras libraries to automatically encode your sequence data in Python.
因此,公共基因组资源收藏可以提供物质材料和源信息,增加目前通过电子媒介提供的序列数据的价值。
Thus, public genome resource collections can provide the physical materials andsource information that add value to the sequence data currently being made available through the electronic media.
然而,可供分析时间序列数据很少。
However, very little time-series data is available for analysis.
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