CLUSTERING LONGITUDINAL PROFILES USING NON-PARAMETRIC AND SEMI-PARAMETRIC MIXED EFFECTS MODELS

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TASALLIZADEH KHEMES MEYSAM; REZAEI GHAHROODI ZAHRA

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2018 | Volume:11 | Issue:2 Page(s): 263-284

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Title

CLUSTERING LONGITUDINAL PROFILES USING NON-PARAMETRIC AND SEMI-PARAMETRIC MIXED EFFECTS MODELS

Author(s)

TASALLIZADEH KHEMES MEYSAM | REZAEI GHAHROODI ZAHRA | Issue Writer Certificate

Keywords

LONGITUDINAL PROFILESQ1

SPLINE SMOOTHINGQ1

PENALIZED SPLINEQ1

LINEAR MIXED EFFECTS MODELQ1

MODEL- BASED CLUSTERINGQ1

GENE EXPRESSIONQ2

Abstract

There are several methods for clustering time course GENE EXPRESSION data. But, these methods have limitations such as the lack of consideration of correlation over time and suffering of high computational.In this paper, by introducing the non-parametric and semi parametric mixed effects model, this correlation over time is considered and by using PENALIZED SPLINEs, computation burden dramatically reduced. At the end, using a simulation study the performance of the presented method is compared with previous methods and by using BIC criteria, the most appropriate model is selected. Also the proposed approach is illustrated in a real time course GENE EXPRESSION data set.

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APA: Copy

TASALLIZADEH KHEMES, MEYSAM, & REZAEI GHAHROODI, ZAHRA. (2018). CLUSTERING LONGITUDINAL PROFILES USING NON-PARAMETRIC AND SEMI-PARAMETRIC MIXED EFFECTS MODELS. JOURNAL OF STATISTICAL SCIENCES, 11(2 ), 263-284. SID. https://sid.ir/paper/124147/en

Vancouver: Copy

TASALLIZADEH KHEMES MEYSAM, REZAEI GHAHROODI ZAHRA. CLUSTERING LONGITUDINAL PROFILES USING NON-PARAMETRIC AND SEMI-PARAMETRIC MIXED EFFECTS MODELS. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2018;11(2 ):263-284. Available from: https://sid.ir/paper/124147/en

IEEE: Copy

MEYSAM TASALLIZADEH KHEMES, and ZAHRA REZAEI GHAHROODI, “CLUSTERING LONGITUDINAL PROFILES USING NON-PARAMETRIC AND SEMI-PARAMETRIC MIXED EFFECTS MODELS,” JOURNAL OF STATISTICAL SCIENCES, vol. 11, no. 2 , pp. 263–284, 2018, [Online]. Available: https://sid.ir/paper/124147/en

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