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The analytical landscape of static and temporal dynamics in transcriptome data

Interpreting gene expression profiles often involves statistical analysis of large numbers of differentially expressed genes, isoforms, and alternative splicing events at either static or dynamic spectrums. Reduced sequencing costs have made feasible dense time-series analysis of gene expression usi...

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Detalhes bibliográficos
Main Authors: Oh, Sunghee, Song, Seongho, Dasgupta, Nupur, Grabowski, Gregory
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3929947/
https://ncbi.nlm.nih.gov/pubmed/24600473
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2014.00035
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