General Statistical Framework for Quantitative Proteomics by Stable Isotope Labeling

6533b873fe1ef96bd12d4533

RESEARCH PRODUCT

General Statistical Framework for Quantitative Proteomics by Stable Isotope Labeling

Daniel Pérez-hernández Daniel Pérez-hernández Jesús Vázquez Jesús Vázquez María Luisa Hernáez Montserrat Carrascal Concha Gil Juan Miguel Redondo Fernando García Pedro Navarro Pedro Navarro Marco Trevisan-herraz Marco Trevisan-herraz Pablo Martínez-acedo Pablo Martínez-acedo J.a. Bárcena Enrique Calvo Inmaculada Jorge Inmaculada Jorge Elena Bonzón-kulichenko Elena Bonzón-kulichenko Keith Ashman Raquel Mesa Raquel Mesa Estefanía Núñez Estefanía Núñez Joaquín Abián

subject

Proteomics Saccharomyces cerevisiae Proteins Proteome Quantitative proteomics Gene Expression stable isotope labeling Saccharomyces cerevisiae yeast Oxygen Isotopes computer.software_genre Biochemistry Statistical power Interpretation (model theory)statistical analysis Stable isotope labeling by amino acids in cell culture Quantitative proteomics Data Mining Models Statistical Chromatography Chemistry Molecular Sequence Annotation Hydrogen Peroxide General Chemistry Variance (accounting)Isotope Labeling Stable Isotope Labeling Biological system Null hypothesis computer Data integration

description

Pedro J. Navarro et al.

year	journal	country	edition	language
2014-02-12	Journal of Proteome Research

https://doi.org/10.1021/pr4006958

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