Search Results - Time Series Microarray Data Clustering

Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements by Cooke, Emma J, Savage, Richard S, Kirk, Paul DW, Darkins, Robert, Wild, David L

“… Results We present a generative model-based Bayesian hierarchical clustering algorithm for microarray time series that employs Gaussian process regression to capture the structure of the data…”
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Multiple gene expression profile alignment for microarray time-series data clustering by Subhani, Numanul, Rueda, Luis, Ngom, Alioune, Burden, Conrad J.

“… A few methods have been proposed recently for clustering microarray time-series, which take the temporal dimension of the data into account…”
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Hierarchical signature clustering for time series microarray data by Koenig, Lars, Youn, Eunseog

“…Existing clustering techniques provide clusters from time series microarray data, but the distance metrics used lack interpretability for these types of data…”
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Alignment versus variation methods for clustering microarray time-series data by Subhani, Numanul, Yifeng Li, Ngom, Alioune, Rueda, Luis

“…In the past few years, it has been shown that traditional clustering methods do not necessarily perform well on time-series data because of the temporal relationships involved in such data…”
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A novel pattern based clustering methodology for time-series microarray data by Phan, Sieu, Famili, Fazel, Tang, Zoujian, Pan, Youlian, Liu, Ziying, Ouyang, Junjun, Lenferink, Anne, Mc-Court O'connor, Maureen

“… Traditional clustering techniques are generally based on overall similarity of expression levels and often generate clusters with mixed profile patterns…”
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Interpolation based consensus clustering for gene expression time series by Chiu, Tai-Yu, Hsu, Ting-Chieh, Yen, Chia-Cheng, Wang, Jia-Shung

“…Background Unsupervised analyses such as clustering are the essential tools required to interpret time-series expression data from microarray…”
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Enrichment constrained time dependent clustering analysis of time series microarray data by Meng, Jia

“… This thesis investigates a new clustering algorithm for time series microarray data analysis…”
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Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm by Maji, Pradipta, Paul, Sushmita

“…Clustering is one of the important analysis in functional genomics that discovers groups of co-expressed genes from microarray data…”
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Microarray time-series data clustering via gene expression profile alignment by Subhani, K M Numanul Hoque

“… The proposed approach with flat clustering algorithms like k-means and EM are shown to cluster microarray time-series profiles efficiently and reduce the computational time significantly…”
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Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules by Meng, Jia, Gao, Shou-Jiang, Huang, Yufei

“…Motivation: Clustering is a popular data exploration technique widely used in microarray data analysis…”
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Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm by Darkins, Robert, Cooke, Emma J., Ghahramani, Zoubin, Kirk, Paul D. W., Wild, David L., Savage, Richard S.

“… BHC is a general method for clustering any discretely sampled time series data. In this paper we focus on a particular application to microarray gene expression data…”
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Clustering microarray time-series data using expectation maximization and multiple profile alignment by Subhani, N., Rueda, L., Ngom, A., Burden, C.J.

“… clusters are very different. In this direction, clustering microarray time-series data via pairwise alignment of piece-wise linear profiles has been recently introduced…”
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New approaches to clustering microarray time-series data using multiple expression profile alignment by Subhani, Numanul, Rueda, Luis, Ngom, Alioune, Burden, Conrad

“…An important process in functional genomic studies is clustering microarray time-series data, where genes with similar expression profiles are expected to be functionally related…”
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TimeClust: a clustering tool for gene expression time series by Magni, Paolo, Ferrazzi, Fulvia, Sacchi, Lucia, Bellazzi, Riccardo

“… It can be conveniently used to analyze data obtained from DNA microarray time-course experiments…”
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Clustering algorithms for time series gene expression in microarray data by Zhang, Guilin

“…Clustering techniques are important for gene expression data analysis. However, efficient computational algorithms for clustering time-series data are still lacking…”
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A cluster merging method for time series microarray with production values by Chira, Camelia, Sedano, Javier, Camara, Monica, Prieto, Carlos, Villar, Jose R, Corchado, Emilio

“…A challenging task in time-course microarray data analysis is to cluster genes meaningfully combining the information provided by multiple replicates covering the same key time points…”
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Dynamic modeling of gene expression in prokaryotes: application to glucose-lactose diauxie in Escherichia coli by Albert, Jaroslav, Rooman, Marianne

“…) based solely on data from DNA microarray time series. Clustering of genes with similar expression profiles allows for a course-grained view of the GRN and a probabilistic determination of the connectivity among the clusters…”
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Gene clustering for time-series microarray with production outputs by Chira, Camelia, Sedano, Javier, Villar, José R., Camara, Monica, Prieto, Carlos

“… The objective of this study is to obtain knowledge about the most important genes and clusters related to production outputs of real-world time-series microarray data in the industrial microbiology area…”
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Clustering gene expression time series data using an infinite Gaussian process mixture model by McDowell, Ian C., Manandhar, Dinesh, Vockley, Christopher M., Schmid, Amy K., Reddy, Timothy E., Engelhardt, Barbara E.

“… To further test our method, we apply DPGP to published microarray data from a microbial model organism exposed to stress and to novel RNA-seq data from a human cell line exposed to the glucocorticoid dexamethasone…”
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Clustering of unevenly sampled gene expression time-series data by Möller-Levet, C.S., Klawonn, F., Cho, K.-H., Yin, H., Wolkenhauer, O.

“…s. The temporal order of the data and the varying length of sampling intervals are important and should be considered in clustering time-series…”
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