Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Information Entropy of DNA Sequences for Survival Analysis

Version 1 : Received: 23 March 2023 / Approved: 23 March 2023 / Online: 23 March 2023 (13:23:45 CET)

How to cite: Martynenko, A.; Pastor, X.; Frid, S.; Gil, J.; Borrat, X. Information Entropy of DNA Sequences for Survival Analysis. Preprints 2023, 2023030414. https://doi.org/10.20944/preprints202303.0414.v1 Martynenko, A.; Pastor, X.; Frid, S.; Gil, J.; Borrat, X. Information Entropy of DNA Sequences for Survival Analysis. Preprints 2023, 2023030414. https://doi.org/10.20944/preprints202303.0414.v1

Abstract

The purpose of this study is to provide an accurate formula for calculating entropy for short DNA sequences and to demonstrate how to use it to examine leukemia patient surviving. We used IDIBAPS leukemia patient’s data base with 117 anonymized records. The generalized form of the Robust Entropy Estimator (EnRE) for short DNA sequences was proposed and key EnRE futures was showed. The Survival Analysis has been done using statistical package IBM SPSS. Entropy EnRE were calculated for leukemia patients for two samples: A. 2 groups divided by median EnRE and B. 2 groups of patients were formed according to their belonging to 1st and 4th quartiles of EnRE. The result of survival analysis are statistically significant: A. p < 0.05; B. p < 0.005. The death hazard for a patient with EnRE below median is 1.556 times that of a patient with EnRE over median and that the death hazard for a patient of 1st quartile (lowest EnRE) is 2.143 times that of a patient of 4th quartile (highest EnRE). The transition from median to quartile patients’ groups with more EnRE differentiation confirmed the unique significance of the entropy of DNA sequences for leukemia patients surviving.

Keywords

information entropy; DNA sequences; patients surviving; leukemia

Subject

Medicine and Pharmacology, Anatomy and Physiology

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