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Subcellular Localization Constrains Protein Detectability and Reveals Systematic RNA-Protein Discordance Across Cancers

2026-04-01

Abstract excerpt

Transcript abundance is widely used as a proxy for protein expression in cancer studies; however, mRNA levels often fail to predict protein detectability due to post-transcriptional and compartment-specific regulatory processes. Here, we present a machine learning framework that integrates RNA expression, gene-level attributes, and subcellular localization to model protein detectability across human cancers. Lever...

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Literature Corpus work
07f75bd3-9860-5657-b729-fe77bf8441f8
DOI
10.64898/2026.03.30.713919
Open publication

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Subcellular Localization Constrains Protein Detectability and Reveals Systematic RNA-Protein Discordance Across CancersDOI 10.64898/2026.03.30.713919
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