Cargando…
A knowledge-based T(2)-statistic to perform pathway analysis for quantitative proteomic data
Approaches to identify significant pathways from high-throughput quantitative data have been developed in recent years. Still, the analysis of proteomic data stays difficult because of limited sample size. This limitation also leads to the practice of using a competitive null as common approach; whi...
Autores principales: | Lai, En-Yu, Chen, Yi-Hau, Wu, Kun-Pin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493430/ https://www.ncbi.nlm.nih.gov/pubmed/28622336 http://dx.doi.org/10.1371/journal.pcbi.1005601 |
Ejemplares similares
-
Knowledge-based analysis of proteomics data
por: Bessarabova, Marina, et al.
Publicado: (2012) -
PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data
por: Chang, Cheng, et al.
Publicado: (2018) -
Whole proteomes as internal standards in quantitative proteomics
por: Ong, Shao-En
Publicado: (2010) -
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
por: Wieczorek, Samuel, et al.
Publicado: (2017) -
Statistical methods for quantitative mass spectrometry proteomic experiments with labeling
por: Oberg, Ann L, et al.
Publicado: (2012)