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Article

An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data-Circumventing the p >> n Problem.

International journal of molecular sciences - 26 Apr 2024

Kotlarz Krzysztof, Mielczarek Magda, Biecek Przemysław, Wojdak-Maksymiec Katarzyna, Suchocki Tomasz, Topolski Piotr, Jagusiak Wojciech, Szyda Joanna

Abstract excerpt

The serious drawback underlying the biological annotation of whole-genome sequence data is the p >> n problem, which means that the number of polymorphic variants (p) is much larger than the number of available phenotypic records (n). We propose a way to circumvent the problem by combining a LASSO logistic regression with deep learning to classify cows as susceptible or resistant to mastitis, based on single...

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Identifiers

PMID: 38731932
DOI: 10.3390/ijms25094715
PMCID: PMC11083318

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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