Boosting the Detection of Transposable Elements Using Machine Learning

被引：0
|
作者：
Loureiro, Tiago [1 ]
Camacho, Rui [2 ]
Vieira, Jorge [3 ]
Fonseca, Nuno A. [4 ,5 ]
机构：
[1] DEI and Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
[2] DEI and Faculdade de Engenharia and LIAAD-INESCTEC, Universidade do Porto, Porto, Portugal
[3] IBMC - Instituto de Biologia Molecular e Celular and Universidade do Porto, Porto, Portugal
[4] EMBL Outstation, European Bioinformatics Institute (EBI), Hinxton, Cambridge, CB10 ISD, United Kingdom
[5] CRACS-INESCTEC, Porto, Portugal
来源：
Advances in Intelligent Systems and Computing | 2013年 / 222卷
关键词：
Compendex;
D O I：
10.1007/978-3-319-00578-2_12
中图分类号：
学科分类号：
摘要：
Genome
引用
收藏
页码：85 / 91
相关论文
共 50 条
  • [41] Transposable elements
    Finnegan, David J.
    CURRENT OPINION IN GENETICS & DEVELOPMENT, 1992, 2 (06) : 861 - 867
  • [42] Industrial Transfer Learning: Boosting Machine Learning in Production
    Tercan, Hasan
    Guajardo, Alexandro
    Meisen, Tobias
    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2019, : 274 - 279
  • [43] Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids
    Upadhyay, Darshana
    Manero, Jaume
    Zaman, Marzia
    Sampalli, Srinivas
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (01): : 1104 - 1116
  • [44] Detection of Fraudulent Entities in Ethereum Cryptocurrency: A Boosting-based Machine Learning Approach
    Rathore, M. Mazhar
    Chaurasia, Sushil
    Shukla, Dhirendra
    Anand, P.
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 6444 - 6449
  • [45] Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing
    Simsek, Murat
    Kantarci, Burak
    Boukerche, Azzedine
    2020 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2020, : 631 - 637
  • [46] Delineating the impact of machine learning elements in pre-microRNA detection
    Demirci, Muserref Duygu Sacar
    Allmer, Jens
    PEERJ, 2017, 5
  • [47] USING MACHINE LEARNING FOR INTRUSION DETECTION SYSTEMS
    Quang-Vinh Dang
    COMPUTING AND INFORMATICS, 2022, 41 (01) : 12 - 33
  • [48] Brain Tumor Detection Using Machine Learning
    Bonny, Talal
    Al Jaziri, Maryam
    Al-Shabi, Mohammad
    OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS VIII, 2024, 12998
  • [49] Detection of Facebook Addiction Using Machine Learning
    Islam, Md Zahirul
    Jannat, Ziniatul
    Habib, Md. Tarek
    Rahman, Md. Sadekur
    Islam, Gazi Zahirul
    THIRD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND CAPSULE NETWORKS (ICIPCN 2022), 2022, 514 : 625 - 638
  • [50] Semantic Clone Detection Using Machine Learning
    Sheneamer, Abdullah
    Kalita, Jugal
    2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016), 2016, : 1024 - 1028
12345