Fitting Markov property to genetic sequences
In this paper DNA sequents are modelled as discrete-state Markov chains. Statistical data is presented in contingency tables form. The generalized logit model is used to test the first-order Markov property for all coding and non-coding subsequences of DNA.
Saved in:
Main Authors: | Jurgita Židanavičiūtė, Tomas Rekašius |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2023-09-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.zurnalai.vu.lt/LMR/article/view/30727 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Structure learning: some testing problems
by: Marijus Radavičius, et al.
Published: (2005-12-01) -
Dynamic system evolution and markov chain approximation
by: Roderick V. Nicholas Melnik
Published: (1998-01-01) -
Multi-Dimensional Markov Chains of M/G/1 Type
by: Valeriy Naumov, et al.
Published: (2025-01-01) -
Predicting Convergence of Per Capita Income in Spain: A Markov and Cluster Approach
by: José F. Gálvez-Rodríguez, et al.
Published: (2025-01-01) -
A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of ENCODE/Broad ChromHMM Annotations: A Computational Perspective
by: Hyun-Seok Park
Published: (2018-09-01)