Scalable integration of multiomic single-cell data using generative adversarial networks

被引：0
|
作者：
Giansanti, Valentina [1 ,2 ]
Antoniotti, Marco [1 ,3 ]
Cittaro, Davide [2 ]
机构：
[1] Univ Milano Bicocca, Dept Informat Syst & Commun, Milan, Italy
[2] IRCCS San Raffaele Inst, Ctr Omics Sci, Milan, Italy
[3] Univ Milano Bicocca, Bicocca Bioinformat Biostat & Bioimaging Ctr B4, Milan, Italy
来源：
EUROPEAN JOURNAL OF HUMAN GENETICS | 2023年 / 31卷
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：
P18.002.B
引用
收藏
页码：598 / 598
页数：1
相关论文
共 50 条
  • [31] PyLiger: scalable single-cell multi-omic data integration in Python']Python
    Lu, Lu
    Welch, Joshua D.
    BIOINFORMATICS, 2022, 38 (10) : 2946 - 2948
  • [32] Semisupervised adversarial neural networks for single-cell classification
    Kimmel, Jacob C.
    Kelley, David R.
    GENOME RESEARCH, 2021, 31 (10) : 1781 - 1793
  • [33] Enhanced Integration of Single-Cell Multi-Omics Data Using Graph Attention Networks
    Liao, Xingyu
    Li, Yanyan
    Li, Shuangyi
    Wen, Long
    Li, Xingyi
    Yu, Bin
    ACS SYNTHETIC BIOLOGY, 2025,
  • [34] SCENIC plus : single-cell multiomic inference of enhancers and gene regulatory networks
    Gonzalez-Blas, Carmen Bravo
    De Winter, Seppe
    Hulselmans, Gert
    Hecker, Nikolai
    Matetovici, Irina
    Christiaens, Valerie
    Poovathingal, Suresh
    Wouters, Jasper
    Aibar, Sara
    Aerts, Stein
    NATURE METHODS, 2023, 20 (09) : 1355 - +
  • [35] SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
    Carmen Bravo González-Blas
    Seppe De Winter
    Gert Hulselmans
    Nikolai Hecker
    Irina Matetovici
    Valerie Christiaens
    Suresh Poovathingal
    Jasper Wouters
    Sara Aibar
    Stein Aerts
    Nature Methods, 2023, 20 : 1355 - 1367
  • [36] Into the multiverse: advances in single-cell multiomic profiling
    Ogbeide, Silvia
    Giannese, Francesca
    Mincarelli, Laura
    Macaulay, Iain C.
    TRENDS IN GENETICS, 2022, 38 (08) : 831 - 843
  • [37] Differentiable and Scalable Generative Adversarial Models for Data Imputation
    Wu, Yangyang
    Wang, Jun
    Miao, Xiaoye
    Wang, Wenjia
    Yin, Jianwei
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (02) : 490 - 503
  • [38] Data Preprocessing for Soft Sensor using Generative Adversarial Networks
    Wang, Xiao
    2018 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2018, : 1355 - 1360
  • [39] Biomedical Data Augmentation Using Generative Adversarial Neural Networks
    Calimeri, Francesco
    Marzullo, Aldo
    Stamile, Claudio
    Terracina, Giorgio
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, PT II, 2017, 10614 : 626 - 634
  • [40] SEQUENTIAL IOT DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS
    Tschuchnig, Maximilian Ernst
    Ferner, Cornelia
    Wegenkittl, Stefan
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 4212 - 4216
12345