Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation

• Main Authors: Richard, A.C, Lyons, P.A, Peters, J.E, Biasci, D, Flint, S.M, Lee, J.C, McKinney, E.F, Siegel, R.M, Smith, K.G.C
• Other Authors: MEDICINE
• Format: Article
• Published: 2020
• Subjects: CD14 antigen; CD16 antigen; RNA; ANCA associated vasculitis; Article; CD4+ T lymphocyte; controlled study; Crohn disease; data processing; dilution; gene amplification; gene expression; genetic algorithm; human; human cell; inflammatory bowel disease; intermethod comparison; microarray analysis; microscopic polyangiitis; polymerase chain reaction; quantitative analysis; RNA hybridization; signal detection; signal transduction; ulcerative colitis; antibody specificity; case control study; comparative study; DNA microarray; gene expression profiling; genetics; immunology; leukocyte; metabolism; procedures; statistics; Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis; Case-Control Studies; Gene Expression Profiling; Humans; Inflammatory Bowel Diseases; Leukocytes; Oligonucleotide Array Sequence Analysis; Organ Specificity; Statistics as Topic
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/181492
• Institution: National University of Singapore

10.1186/1471-2164-15-649