Enhancing genomic disorder prediction through Feynman Concordance and Interpolated Nearest Centroid techniques

Enhancing genomic disorder prediction through Feynman Concordance and Interpolated Nearest Centroid techniques

Abstract Clinical biomedical applications of genomic technologies are extensive and provide possibilities to enhance healthcare covering the span of medical talents. Genome disorder prediction is an important issue in biomedical research. Genome disorders cause multivariate diseases such as cancer,...

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Bibliographic Details
Main Authors: Sofia Singh, Garima Shukla, Rahul Agrawal, Chetan Dhule, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Biomedical
Genomic
Linear Quadratic
Feynman Kac
Concordance correlated
Polynomial interpolation
Online Access:https://doi.org/10.1038/s41598-024-72923-w
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https://doi.org/10.1038/s41598-024-72923-w

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