您当前的位置：
首页 >
文章列表页 >
A model for identifying neuropeptides by feature selection based on hybrid features
更新时间：2025-05-26

    • A model for identifying neuropeptides by feature selection based on hybrid features

    • “A new algorithm for neuropeptide prediction has been developed, with an accuracy of 0.9169, surpassing existing models.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 11, Pages: 3238-3245(2023)
    • 作者机构：

      1.吉林大学 计算机科学与技术学院，长春 130012

      2.吉林大学 软件学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20220007    

      CLC： TP399

    • Received：04 January 2022，

      Published：01 November 2023

    移动端阅览

  • ZHOU Feng-feng,YAN Zhen-wei.A model for identifying neuropeptides by feature selection based on hybrid features[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(11):3238-3245. DOI： 10.13229/j.cnki.jdxbgxb.20220007.

  •  
  •  

0

Views

9

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Fault detection and classification of wind turbine blades based on machine learning
Feature representation algorithm for imbalanced classification of multi⁃omics cancer data
Chest X-ray images classification based on multi-scale attention information multiplexing network
Future instance segmentation prediction based on bird’s eye view of multi-source spatiotemporal information fusion
Robot inverse kinematics solution based on center selection battle royale optimization algorithm

Related Author

ZHOU Qiu-zhan
MU Yan
WU Hui-nan
CHEN Xiao
WANG Feng
LI Chen
ZHANG Wen
LIU Ping-ping

Related Institution

College of Communication Engineering，Jilin University
Sinovel Wind Power Technology（jiangsu） Co.， Ltd.
School of Artificial Intelligence， Jilin University
School of Microelectronics， Tianjin University
Institute of Science and Technology Innovation， Civil Aviation University of China
0