A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis

Motivation: Batch effects are due to probe-specific systematic variation between groups of samples (batches) resulting from experimental features that are not of biological interest. Principal component analysis (PCA) is commonly used as a visual tool to determine whether batch effects exist after a...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Reese, Sarah E., Archer, Kellie J., Therneau, Terry M., Atkinson, Elizabeth J., Vachon, Celine M., de Andrade, Mariza, Kocher, Jean-Pierre A., Eckel-Passow, Jeanette E.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2013
Konular:
Original Papers
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3810845/
https://ncbi.nlm.nih.gov/pubmed/23958724
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt480
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller