Molecular sequence classification using efficient kernel based embedding-Reference-Cited by-同舟云学术

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Molecular sequence classification using efficient kernel based embedding

Published:2024-09 Issue: Volume:679 Page:121100
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ali Sarwan^ORCID,Ali Tamkanat E.^ORCID,Murad Taslim,Mansoor Haris,Patterson Murray^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. A k-mer based approach for sars-cov-2 variant identification;Ali,2021

2. PWM2Vec: an efficient embedding approach for viral host specification from coronavirus spike sequences;Ali,2022

3. Efficient approximate kernel based spike sequence classification;Ali;IEEE/ACM Trans. Comput. Biol. Bioinform.,2022

4. Unified rational protein engineering with sequence-based deep representation learning;Alley;Nat. Methods,2019

5. Pevolm: protein sequence evolutionary information language model;Arab,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Elliptic geometry-based kernel matrix for improved biological sequence classification;Knowledge-Based Systems;2024-11

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