Phenotype based prediction of WES outcome using machine learning

被引：0
|
作者：
Dingemans, Alexander J. M. [1 ]
Hinne, Max [1 ]
Jansen, Sandra [1 ]
van Reeuwijk, Jeroen [1 ]
de Leeuw, Nicole [1 ]
Pfundt, Rolph [1 ]
van Bon, Bregje W. [1 ]
Vulto-van Silfhout, Anneke T. [1 ]
Kleefstra, Tjitske [1 ]
Koolen, David A. [1 ]
van Gerven, Marcel A. J. [2 ]
Vissers, Lisenka E. L. M. [1 ]
de Vries, Bert B. A. [1 ]
机构：
[1] Radboudumc, Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Nijmegen, Netherlands
来源：
EUROPEAN JOURNAL OF HUMAN GENETICS | 2022年 / 30卷 / SUPPL 1期
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
P17.086.A
引用
收藏
页码：506 / 506
页数：1
相关论文
共 50 条
  • [1] ARTICLE Phenotype based prediction of exome sequencing outcome using machine learning for neurodevelopmental disorders
    Dingemans, Alexander J. M.
    Hinne, Max
    Jansen, Sandra
    van Reeuwijk, Jeroen
    de Leeuw, Nicole
    Pfundt, Rolph
    van Bon, Bregje W.
    Vulto-van Silfhout, Anneke T.
    Kleefstra, Tjitske
    Koolen, David A.
    van Gerven, Marcel A. J.
    Vissers, Lisenka E. L. M.
    de Vries, Bert B. A.
    [J]. GENETICS IN MEDICINE, 2022, 24 (03) : 645 - 653
  • [2] Prediction of Migration Outcome Using Machine Learning
    Islam, S. M. Rabiul
    Moon, Nazmun Nessa
    Islam, Mohammad Monirul
    Hossain, Refath Ara
    Sharmin, Shayla
    Mostafiz, Asif
    [J]. PROGRESSES IN ARTIFICIAL INTELLIGENCE & ROBOTICS: ALGORITHMS & APPLICATIONS, 2022, : 169 - 182
  • [3] PigLeg: prediction of swine phenotype using machine learning
    Bakoev, Siroj
    Getmantseva, Lyubov
    Kolosova, Maria
    Kostyunina, Olga
    Chartier, Duane R.
    Tatarinova, Tatiana, V
    [J]. PEERJ, 2020, 8
  • [4] Plant Genotype to Phenotype Prediction Using Machine Learning
    Danilevicz, Monica F.
    Gill, Mitchell
    Anderson, Robyn
    Batley, Jacqueline
    Bennamoun, Mohammed
    Bayer, Philipp E.
    Edwards, David
    [J]. FRONTIERS IN GENETICS, 2022, 13
  • [5] Sepsis Patient Outcome Prediction Using Machine Learning
    de Alencar Saraiva, Jose Lucas
    Victor Junior, Marcus Henrique
    Becker Junior, Otavio Monteiro
    Kadirkamanathan, Visakan
    Silva, Eliezer
    Kienitz, Karl Heinz
    [J]. XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL 1, 2019, 70 (01): : 795 - 799
  • [6] Allelic phenotype prediction of phenylketonuria based on the machine learning method
    Yang Fang
    Jinshuang Gao
    Yaqing Guo
    Xiaole Li
    Enwu Yuan
    Erfeng Yuan
    Liying Song
    Qianqian Shi
    Haiyang Yu
    Dehua Zhao
    Linlin Zhang
    [J]. Human Genomics, 17
  • [7] Allelic phenotype prediction of phenylketonuria based on the machine learning method
    Fang, Yang
    Gao, Jinshuang
    Guo, Yaqing
    Li, Xiaole
    Yuan, Enwu
    Yuan, Erfeng
    Song, Liying
    Shi, Qianqian
    Yu, Haiyang
    Zhao, Dehua
    Zhang, Linlin
    [J]. HUMAN GENOMICS, 2023, 17 (01)
  • [8] Prediction of Shock Outcome Using Signal Processing and Machine Learning
    Shandilya, Sharad
    Ji, Soo-Yeon
    Ward, Kevin
    Najarian, Kayvan
    [J]. CIRCULATION, 2010, 122 (21)
  • [9] PREDICTION OF CLINICAL OUTCOME IN AORTIC STENOSIS USING MACHINE LEARNING
    Namasivayam, Mayooran
    Myers, Paul
    Guttag, John
    Picard, Michael
    Hung, Judy
    Stultz, Collin
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2020, 75 (11) : 2181 - 2181
  • [10] Ischemia and outcome prediction by cardiac CT based machine learning
    Verena Brandt
    Tilman Emrich
    U. Joseph Schoepf
    Danielle M. Dargis
    Richard R. Bayer
    Carlo N. De Cecco
    Christian Tesche
    [J]. The International Journal of Cardiovascular Imaging, 2020, 36 : 2429 - 2439
12345