PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction

被引：0
|
作者：
Alkuhlani, Alhasan [1 ,2 ]
Gad, Walaa [2 ]
Roushdy, Mohamed [3 ]
Salem, Abdel-Badeeh M. [2 ]
机构：
[1] Faculty of Computer and Information Technology, Sana'a University, Sana'a, Yemen
[2] Faculty of Computer and Information Science, Ain Shams University, Cairo,11566, Egypt
[3] Faculty of Computers and Information Technology, Future University in Egypt, New Cairo,11835, Egypt
来源：
IEEE Access | 2022年 / 10卷
关键词：
All Open Access; Gold;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
53
引用
收藏
页码：12702 / 12713
相关论文
共 50 条
  • [21] GLYCOSYLATION SITE DIFFERENCES OF BOVINE FETUIN N-LINKED OLIGOSACCHARIDES
    ROHRER, J
    COOPER, G
    KADLECEK, D
    HARDY, M
    TOWNSEND, R
    FASEB JOURNAL, 1991, 5 (04): : A461 - A461
  • [22] ROPU: A robust online positive-unlabeled learning algorithm
    Liang, Xijun
    Zhu, Kaili
    Xiao, An
    Wen, Ya
    Zhang, Kaili
    Wang, Suhang
    Jian, Ling
    KNOWLEDGE-BASED SYSTEMS, 2025, 309
  • [23] Construction of Fatigue Criteria Through Positive-Unlabeled Learning
    Coudray, Olivier
    Bristiel, Philippe
    Dinis, Miguel
    Keribin, Christine
    Pamphile, Patrick
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2025, 48 (01) : 101 - 117
  • [24] Positive-unlabeled learning for open set domain adaptation
    Loghmani, Mohammad Reza
    Vincze, Markus
    Tommasi, Tatiana
    PATTERN RECOGNITION LETTERS, 2020, 136 : 198 - 204
  • [25] Partial Optimal Transport with Applications on Positive-Unlabeled Learning
    Chapel, Laetitia
    Alaya, Mokhtar Z.
    Gasso, Gilles
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [26] Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data
    Yang, Pengyi
    Humphrey, Sean J.
    James, David E.
    Yang, Yee Hwa
    Jothi, Raja
    BIOINFORMATICS, 2016, 32 (02) : 252 - 259
  • [27] Recovering True Classifier Performance in Positive-Unlabeled Learning
    Jain, Shantanu
    White, Martha
    Radivojac, Predrag
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 2066 - 2072
  • [28] Spotting Fake Reviews using Positive-Unlabeled Learning
    Li, Huayi
    Liu, Bing
    Mukherjee, Arjun
    Shao, Jidong
    COMPUTACION Y SISTEMAS, 2014, 18 (03): : 467 - 475
  • [29] Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
    Niu, Gang
    du Plessis, Marthinus C.
    Sakai, Tomoya
    Ma, Yao
    Sugiyama, Masashi
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), 2016, 29
  • [30] Investigating Active Positive-Unlabeled Learning with Deep Networks
    Han, Kun
    Chen, Weitong
    Xu, Miao
    AI 2021: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, 13151 : 607 - 618
12345