Accurate Detection of Differential Expression and Splicing Using Low-Level Features.
Gene expression can be quantified in high throughput using microarray technology. Here we describe how to accurately detect differential expression and splicing using a probe-level expression change averaging (PECA) method. PECA is available as an R package from Bioconductor ( https://www.bioconductor.org ), and it supports multiple operating systems.
Turku Centre for Biotechnology, Tykistökatu 6, 20520, Turku, Finland. tomi.suomi@btk.fi.
Tomi
T
Suomi
Turku Centre for Biotechnology, Tykistökatu 6, 20520, Turku, Finland. laura.elo@btk.fi.
Laura L
LL
Elo
D017398:Alternative Splicing; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D012984:Software; D059467:Transcriptome
Differential expression; Differential splicing; PECA; Probe level