Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure

Authors

Wen Yang (ORCID: https://orcid.org/0000-0001-9845-1843)
Yang Li (ORCID: https://orcid.org/0000-0002-0609-6918)
Guohua Wang (ORCID: https://orcid.org/0000-0001-7381-2374)
Li Dan (ORCID: https://orcid.org/0000-0001-8759-9412)
Ruiting Xu

Institutions

Southern Medical University Shenzhen Hospital (CN)
Northeast Forestry University (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-10-26
DOI: https://doi.org/10.1093/bioinformatics/btae640
Citations: 2
Primary Topic: Cancer-related molecular mechanisms research
Type: article
Field-Weighted Citation Impact: 0.57

Funders

National Natural Science Foundation of China

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article

Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure

Wen Yang, Yang Li, Guohua Wang, Li Dan et al.

Oct 26, 2024

2 citations

Bioinformatics

Cancer-related molecular mechanisms research

0.57

article

Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure

Wen Yang, Yang Li, Guohua Wang, Li Dan, Ruiting Xu

October 26, 2024article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(11)

Southern Medical University Shenzhen Hospital (CN), Northeast Forestry University (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 31%

Cancer-related molecular mechanisms research

0.57

DOI Open Access PDF OpenAlex

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