Investigation of variation in gene expression profiling of human blood by extended principle component analysis

• Main Authors: Xu Q., Ni S., Wu F., Liu F., Ye X., Mougin B., Meng X., Du X.
• Other Authors: BIOINFORMATICS CENTRE
• Format: Article
• Published: Public Library of Science 2020
• Subjects: DNA; RNA; transcriptome; plasma protein; accuracy; adult; article; blood sampling; body mass; cell type; confounding variable; controlled study; DNA microarray; erythrocyte; female; gender; gene expression; gene expression profiling; genetic variability; human; human cell; human genome; leukocyte; male; principal component analysis; reproducibility; RNA isolation; blood cell; genetics; metabolism; methodology; standard; Blood Cells; Blood Proteins; Gene Expression Profiling; Genetic Variation; Humans; Principal Component Analysis; Research Design; Transcriptome
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/165586
• Institution: National University of Singapore

10.1371/journal.pone.0026905