Aligning gene expression time series with time warping algorithms | Zendy

John Aach | Zendy; George M. Church | Zendy

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Aligning gene expression time series with time warping algorithms

Author(s) -

John Aach,

George M. Church

Publication year - 2001

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/17.6.495

Subject(s) - dynamic time warping , computer science , algorithm , image warping , noise (video) , time series , expression (computer science) , cluster analysis , series (stratigraphy) , data mining , artificial intelligence , machine learning , image (mathematics) , paleontology , biology , programming language

motivation: Increasingly, biological processes are being studied through time series of RNA expression data collected for large numbers of genes. Because common processes may unfold at varying rates in different experiments or individuals, methods are needed that will allow corresponding expression states in different time series to be mapped to one another.

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