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Tchagang et al., 2009 - Google Patents

Extracting biologically significant patterns from short time series gene expression data

Tchagang et al., 2009

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Document ID
9791650476478219062
Author
Tchagang A
Bui K
McGinnis T
Benos P
Publication year
Publication venue
BMC bioinformatics

External Links

Snippet

Background Time series gene expression data analysis is used widely to study the dynamics of various cell processes. Most of the time series data available today consist of few time points only, thus making the application of standard clustering techniques difficult …
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Classifications

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    • G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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