Autor: |
Hamzić, Edin, Kjærup, Rikke, Mach, Núria, Guilietta Minozzi, Strozzi, Francesco, Gualdi, Valentina, Williams, John, Chen, Jun, Wattrang, Eva, Buitenhuis, Bart, Juul-Madsen, Helle, Dalgaard, Tina |
Rok vydání: |
2016 |
DOI: |
10.6084/m9.figshare.c.3597131_d2 |
Popis: |
Interclass PCA of normalized gene count data. Interclass principal component analysis (PCA) with the eight comparison groups as the instrumental variable. The aim of interclass PCA was to identify any gene having extreme count profiles which may have contributed to the transcriptome dispersion of birds 22 and 47 with respect to their treatment groups. The plot was created using principal component analysis function implemented in the ade4 R package with birds as variables and differential expression comparison groups as class levels. (PDF 13 kb) |
Databáze: |
OpenAIRE |
Externí odkaz: |
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