iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree

DOI10.3934/MBE.2021434zbMath1501.92099OpenAlexW3205048717MaRDI QIDQ2092240

Yunyun Liang, Yinan Cheng, Huijuan Qiao, Sheng-Li Zhang

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021434

zbMATH Keywords

identificationmultiple featuresenhancersgradient boosting decision tree

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Uses Software

• iPPI-Esml
• Prnam-PC
• iRSpot-EL

Cites Work

• Greedy function approximation: A gradient boosting machine.
• Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou's general PseAAC via Kullback-Leibler divergence

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