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PROTRIDER: Protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoder

2025-02-05

Abstract excerpt

<h4>Structured abstract</h4> <h4>Motivation</h4> Detection of gene regulatory aberrations enhances our ability to interpret the impact of inherited and acquired genetic variation for rare disease diagnostics and tumor characterization. While numerous methods for calling RNA expression outliers from RNA-sequencing data have been proposed, the establishment of protein expression outliers from mass spectrometry dat...

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Literature Corpus work
4dbf1163-704d-5ecd-879e-86382bf2948a
DOI
10.1101/2025.02.01.636024
Open publication

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PROTRIDER: Protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoderDOI 10.1101/2025.02.01.636024
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