A New Deep Learning and XAI-Based Algorithm for Features Selection in
Genomics
- URL: http://arxiv.org/abs/2303.16914v1
- Date: Wed, 29 Mar 2023 16:44:13 GMT
- Title: A New Deep Learning and XAI-Based Algorithm for Features Selection in
Genomics
- Authors: Carlo Adornetto and Gianluigi Greco
- Abstract summary: The paper proposes a novel algorithm to perform Feature Selection on genomic-scale data.
Results of the application on a Chronic Lymphocytic Leukemia dataset evidence the effectiveness of the algorithm.
- Score: 5.787117733071415
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In the field of functional genomics, the analysis of gene expression profiles
through Machine and Deep Learning is increasingly providing meaningful insight
into a number of diseases. The paper proposes a novel algorithm to perform
Feature Selection on genomic-scale data, which exploits the reconstruction
capabilities of autoencoders and an ad-hoc defined Explainable Artificial
Intelligence-based score in order to select the most informative genes for
diagnosis, prognosis, and precision medicine. Results of the application on a
Chronic Lymphocytic Leukemia dataset evidence the effectiveness of the
algorithm, by identifying and suggesting a set of meaningful genes for further
medical investigation.
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