Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint
Data sources: ZENODO
addClaim

A pre-registered test of tumour-vs-normal P1/P2 proteome composition shift

Authors: Coates, David;

A pre-registered test of tumour-vs-normal P1/P2 proteome composition shift

Abstract

This document specifies, prior to any data analysis, a test of a single directional hypothesis: that the abundance-weighted P1 fraction of the expressed proteome is higher in tumour than in matched normal tissue. The prediction is a reframing of the metabolic-cost convergence reported by Zhang et al. (2022) into the Perez P1/P2 partition, and nothing more. The test makes no use of the Coates Quartic, the Z/20 cyclic structure, the−3π/10 codon invariant, or any claim that the partition is a mechanism of oncogenesis. It tests composition, full stop. The statistic, null model, confound controls, and decision rule are frozen below and deposited before the analysis pipeline is run, so the DOI time stamp establishes the prediction as prior to data observation

Powered by OpenAIRE graph
Found an issue? Give us feedback