# Feature reduction for machine learning on molecular features: The GeneScore

arXiv: https://arxiv.org/abs/2101.05546 · HTML: https://mlsanity.com/paper/2101.05546/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 14 Jan 2021.

## Abstract (arXiv)

We present the GeneScore, a concept of feature reduction for Machine Learning analysis of biomedical data. Using expert knowledge, the GeneScore integrates different molecular data types into a single score. We show that the GeneScore is superior to a binary matrix in the classification of cancer entities from SNV, Indel, CNV, gene fusion and gene expression data. The GeneScore is a straightforward way to facilitate state-of-the-art analysis, while making use of the available scientific knowledge on the nature of molecular data features used.