Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features.

Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

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Article in Genomics & informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Chaolu MengCollege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.

Yongqi HouSchool of Computer Science, Inner Mongolia University, Hohhot, China.

Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Lei ShiDepartment of Spine Surgery, Changzheng Hospital, Naval Medical University, Huangpu District, No. 415, Fengyang Road, Shanghai, China.

Xi SuFoshan Women and Children Hospital, Foshan, China.

Ying JuSchool of Informatics, Xiamen University, Xiamen, China. yju@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In protein identification, researchers increasingly aim to achieve efficient classification using fewer features. While many feature selection methods effectively reduce the number of model features, they often cause information loss caused by merely selecting or discarding features, which limits classifier performance. To address this issue, we present Rore, an algorithm based on a feature-dimensionality reduction strategy. By mapping the original features to a latent space, Rore retains all relevant feature information while using fewer representations of the latent features. This approach significantly preserves the original information and overcomes the information loss problem associated with previous feature selection. Through extensive experimental validation and analysis, Rore demonstrated excellent performance on an antioxidant protein dataset, achieving an accuracy of 95.88% and MCC of 91.78%, using vectors including only 15 features. The Rore algorithm is available online at http://112.124.26.17:8021/Rore .

Indexed as

Dimensionality reductionProtein classifierProtein sequenceRobust feature

Identifiers

PMID39633440

DOI10.1186/s44342-024-00026-z

PMCPMC11616364

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.