Local Alignment of DNA Sequence Based on Deep Reinforcement Learning
<italic>Goal:</italic> Over the decades, there have been improvements in the sequence alignment algorithm, with significant advances in various aspects such as complexity and accuracy. However, human-defined algorithms have an explicit limitation in view of developmental completeness. Th...
Saved in:
Main Authors: | Yong-Joon Song, Dong-Ho Cho |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Open Journal of Engineering in Medicine and Biology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9416907/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning
by: Yong-Joon Song, et al.
Published: (2021-01-01) -
Evaluating the Effectiveness of Various Small RNA Alignment Techniques in Transcriptomic Analysis by Examining Different Sources of Variability Through a Multi-Alignment Approach
by: Xinwei Zhao, et al.
Published: (2025-06-01) -
Cloning and sequencing of a cucumber mosaic virus satellite RNA isolated from Raphanus sativus and comparison of its sequence with 12 satellite RNAs
by: CHEN Ji-shuang, et al.
Published: (2001-05-01) -
Benchmarking Spiking Neural Network Learning Methods With Varying Locality
by: Jiaqi Lin, et al.
Published: (2025-01-01) -
Shaft alignment handbook /
by: Piotrowski, John, 1952-
Published: (1986)