Total variance should drive data handling strategies in third generation proteomic studies

Adaptive Changes in the Neuronal Proteome: Mitochondrial Energy Production, Endoplasmic Reticulum Stress, and Ribosomal Dysfunction in the Cellular Response to Metabolic Stress

(2013) Abigail G Herrmann et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Advancing Cell Biology Through Proteomics in Space and Time (PROSPECTS)

(2012) Angus I. Lamond et al.   MOLECULAR & CELLULAR PROTEOMICS

Proteomic Analysis of Mitochondria in APOE Transgenic Mice and in Response to an Ischemic Challenge

(2011) Rachel James et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Rapid Disruption of Axon-Glial Integrity in Response to Mild Cerebral Hypoperfusion

(2011) M. M. Reimer et al.   JOURNAL OF NEUROSCIENCE

Multiple Hypothesis Testing in Proteomics: A Strategy for Experimental Work

(2011) Angel P. Diz et al.   MOLECULAR & CELLULAR PROTEOMICS

The role of statistical power analysis in quantitative proteomics

(2011) Yishai Levin   PROTEOMICS

Proteomics: a pragmatic perspective

(2010) Parag Mallick et al.   NATURE BIOTECHNOLOGY

Network generation enhances interpretation of proteomic data from induced apoptosis

(2010) Ruth F. Deighton et al.   PROTEOMICS

Empirical approach to false discovery rate estimation in shotgun proteomics

(2010) Anton A. Goloborodko et al.   RAPID COMMUNICATIONS IN MASS SPECTROMETRY

PUMA, a potent killer with or without p53

(2009) J Yu et al.   ONCOGENE