Statistical Analysis of MPSS Measurements: Application to the Study of LPS-Activated Macrophage Gene Expression

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 102; no. 5; pp. 1402 - 1407
• Main Authors: Stolovitzky, G. A., Kundaje, A., Held, G. A., Duggar, K. H., Haudenschild, C. D., Zhou, D., Vasicek, T. J., Smith, K. D., Aderem, A., Roach, J. C., Cantor, Charles R.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 01.02.2005; National Acad Sciences
• Subjects: Base Sequence; Biological Sciences; Breast Neoplasms; Cell Line, Tumor; Cells, Cultured; Cluster Analysis; DNA, Complementary - chemistry; Female; Gene expression; Gene Expression Regulation - physiology; Genes; Genetics; Humans; Libraries; Lipopolysaccharides - pharmacology; Macrophage Activation - drug effects; Macrophage Activation - physiology; Macrophages; Macrophages - drug effects; Macrophages - physiology; Models, Genetic; Noise measurement; Null hypothesis; Oligonucleotide Array Sequence Analysis - methods; P values; Reproducibility of Results; Sequencing; Signal noise; Signatures; Statistical analysis

Massively Parallel Signature Sequencing (MPSS), a recently developed high-throughput transcription profiling technology, has the ability to profile almost every transcript in a sample without requiring prior knowledge of the sequence of the transcribed genes. As is the case with DNA microarrays, eff...