Matrix-based vector representations in neural networks for classifying molecular biology data

All source code and related resources used in this work are made publicly available at https://github.com/LorisNanni/Matrix-Representation-of-Vectors-in-Neural-Networks-for-Data-Classification.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf251
Primary Topic
Machine Learning in Bioinformatics
Type
article
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article

Matrix-based vector representations in neural networks for classifying molecular biology data

Loris Nanni, Daniel Fusaro, Sheryl Brahnam
Bioinformatics Advances
Machine Learning in Bioinformatics
article

Matrix-based vector representations in neural networks for classifying molecular biology data

Loris Nanni, Daniel Fusaro, Sheryl Brahnam
article en

Abstract

All source code and related resources used in this work are made publicly available at https://github.com/LorisNanni/Matrix-Representation-of-Vectors-in-Neural-Networks-for-Data-Classification.

Bioinformatics AdvancesVol. 5(1)
Missouri State University (US), University of Padua (IT)
Openalex Percentile: Top 77%
Machine Learning in Bioinformatics
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