DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers
Author:
Affiliation:
1. Department of Computer Science, School of Systems and Technology, University of Management & Technology, Lahore, Pakistan
2. Department of Computer, College of Science and Arts in Ar Rass Qassim University, Ar Rass, Qassim, Saudi Arabia
Abstract
Funder
Deanship of Scientific Research, Qassim University
Publisher
PeerJ
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Link
https://peerj.com/articles/14104.pdf
Reference40 articles.
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3. iSulfoTyr-PseAAC: identify tyrosine sulfation sites by incorporating statistical moments via Chou’s 5-steps rule and pseudo components;Barukab;Current Genomics,2019
4. MODOMICS: a database of RNA modification pathways. 2017 update;Boccaletto;Nucleic Acids Research,2018
5. MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs;Bui;Bioinformatics,2016
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1. Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach;Computers in Biology and Medicine;2024-02
2. RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features;Diagnostics;2022-12-03
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