A multi-step approach to time series analysis and gene expression clustering

Amato R; Ciaramella A; Deniskina N; Del Mondo C; di Bernardo D; Donalek C; Longo G; Mangano G; Miele G; Raiconi G

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A multi-step approach to time series analysis and gene expression clustering

机译：时间序列分析和基因表达聚类的多步骤方法

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摘要

Motivation: The huge growth in gene expression data calls for the implementation of automatic tools for data processing and interpretation.

机译：动机：基因表达数据的巨大增长要求实现用于数据处理和解释的自动工具。

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来源
《Bioinformatics》 |2006年第5期|p. 589-596|共8页
作者
Amato R; Ciaramella A; Deniskina N; Del Mondo C; di Bernardo D; Donalek C; Longo G; Mangano G; Miele G; Raiconi G;
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作者单位

Univ Salerno, Dipartimento Matemat & Informat, I-84100 Salerno, Italy;

Univ Naples Federico II, Dipartimento Sci Fis, Naples, Italy;

Russian Acad Sci, Inst Informat Transmiss Problems, Moscow 101447, Russia;

Telethon Inst Genet & Med, Naples, Italy;

CALTECH, Dept Astron, Pasadena, CA 91125 USA;

Ist Nazl Fis Nucl, I-80125 Naples, Italy;

INAF, Ist Nazl Astrofis, Sez Napoli, Naples, Italy;

Syracuse Univ, Dept Phys, Syracuse, NY USA;

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收录信息美国《科学引文索引》(SCI);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
中图分类生物科学;
关键词
INDEPENDENT COMPONENT ANALYSIS; CYCLE-REGULATED GENES; SELF-ORGANIZING MAPS; CELL-CYCLE; SACCHAROMYCES-CEREVISIAE; SPECTRAL-ANALYSIS; NEURAL-NETWORKS; PATTERNS; MODELS; IDENTIFICATION;

机译：独立成分分析;循环调节基因;自组织图;细胞周期;糖酵解仪;光谱分析;神经网络;模式;模型;鉴定;
入库时间 2022-08-17 23:49:50

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专利

1. A multi-step approach to time series analysis and gene expression clustering [J] . Amato R, Ciaramella A, Deniskina N, Bioinformatics . 2006,第5期

机译：时间序列分析和基因表达聚类的多步骤方法
2. A multi-step approach to time series analysis and gene expression clustering [J] . R. Amato, A. Ciaramella, N. Deniskina, Bioinformatics . 2006,第5期

机译：时间序列分析和基因表达聚类的多步骤方法
3. Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series [J] . André Valério Carreiro, Artur J. Ferreira, Mário A. T. Figueiredo, Journal of Integrative Bioinformatics . 2012,第3期

机译：迈向使用元集聚的分类方法：离散化在表达时间序列分析中的影响
4. Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data [C] . Zeng, Tao, Liu, Computational Intelligence and Security (CIS), 2007 International Conference on . 2007

机译：时间序列基因表达数据中时间滞后基因簇的分析
5. Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering [D] . Kim, Doo Young. 2016

机译：二氧化碳的统计建模和时间相关信息的聚类分析：滞后目标时间序列聚类，多因素时间序列聚类和多级时间序列聚类
6. A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions [O] . Richard Nock, Natalia Polouliakh, Frank Nielsen, 2020

机译：几何聚类工具（AGCT）以强大地解开时间序列基因表达的内部簇结构
7. Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series [O] . Carreiro André Valerio, Ferreira Artur J., Figueiredo Mário A. T., 2012

机译：迈向使用元集聚的分类方法：离散化在表达时间序列分析中的影响

A multi-step approach to time series analysis and gene expression clustering

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