KinMethyl: robust methylation detection in prokaryotic SMRT sequencing via kinetic signal modeling and deep feature integration

Authors

Yutaka Saitō (ORCID: https://orcid.org/0000-0002-4853-0153)
Jichen Zhang (ORCID: https://orcid.org/0009-0001-8181-2099)

Institutions

Kitasato University (JP)
National Institute of Advanced Industrial Science and Technology (JP)
The University of Tokyo (JP)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf249
Primary Topic: Gene expression and cancer classification
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Institute of Advanced Industrial Science and Technology
Research Organization of Information and Systems
Japan Society for the Promotion of Science
Japan Science and Technology Agency
Cybermedia Center, Osaka University

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article

KinMethyl: robust methylation detection in prokaryotic SMRT sequencing via kinetic signal modeling and deep feature integration

Yutaka Saitō, Jichen Zhang

Dec 26, 2024

Bioinformatics Advances

Gene expression and cancer classification

article

KinMethyl: robust methylation detection in prokaryotic SMRT sequencing via kinetic signal modeling and deep feature integration

Yutaka Saitō, Jichen Zhang

December 26, 2024article en

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

Kitasato University (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP)

National Institute of Advanced Industrial Science and Technology, Research Organization of Information and Systems, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Cybermedia Center, Osaka University

Openalex Percentile: Top 77%

Gene expression and cancer classification

DOI Open Access PDF OpenAlex

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