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Article

Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations.

Biomolecules - 28 Aug 2020

Kobayashi Kazuma, Bolatkan Amina, Shiina Shuichiro, Hamamoto Ryuji

Abstract excerpt

Several challenges appear in the application of deep learning to genomic data. First, the dimensionality of input can be orders of magnitude greater than the number of samples, forcing the model to be prone to overfitting the training dataset. Second, each input variable's contribution to the prediction is usually difficult to interpret, owing to multiple nonlinear operations. Third, genetic data features...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32872133
DOI: 10.3390/biom10091249
PMCID: PMC7563438

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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