Prediction of ovarian cancer with deep machine-learning and alternative splicing

被引:0
|
作者
Watson, Rachel [1 ]
Ulmer, Keely [2 ]
Gabrilovich, Sofia [1 ]
Goodheart, Michael [1 ]
Bender, David [1 ]
McDonald, Megan [1 ]
Devor, Eric [1 ]
Bosquet, Jesus Gonzalez [1 ]
机构
[1] Univ Iowa, Div Gynecol Oncol, Iowa City, IA USA
[2] Univ Iowa, Iowa City, IA USA
关键词
D O I
10.1016/j.ygyno.2023.06.289
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
2167
引用
收藏
页码:S236 / S236
页数:1
相关论文
共 50 条
  • [41] Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry
    Gupta, Sunil
    Truyen Tran
    Luo, Wei
    Dinh Phung
    Kennedy, Richard Lee
    Broad, Adam
    Campbell, David
    Kipp, David
    Singh, Madhu
    Khasraw, Mustafa
    Matheson, Leigh
    Ashley, David M.
    Venkatesh, Svetha
    BMJ OPEN, 2014, 4 (03):
  • [42] Machine Learning and Deep Learning for Throughput Prediction
    Lee, Dongwon
    Lee, Joohyun
    12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021), 2021, : 452 - 454
  • [43] DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
    Olivier B. Poirion
    Zheng Jing
    Kumardeep Chaudhary
    Sijia Huang
    Lana X. Garmire
    Genome Medicine, 13
  • [44] A systematic literature review for the prediction of anticancer drug response using various machine-learning and deep-learning techniques
    Singh, Davinder Paul
    Kaushik, Baijnath
    CHEMICAL BIOLOGY & DRUG DESIGN, 2023, 101 (01) : 175 - 194
  • [45] DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
    Poirion, Olivier B.
    Jing, Zheng
    Chaudhary, Kumardeep
    Huang, Sijia
    Garmire, Lana X.
    GENOME MEDICINE, 2021, 13 (01)
  • [46] DeepASmRNA: Reference-free prediction of alternative splicing events with a scalable and interpretable deep learning model
    Cao, Lei
    Zhang, Quanbao
    Song, Hongtao
    Lin, Kui
    Pang, Erli
    ISCIENCE, 2022, 25 (11)
  • [47] Prediction of chemo-response for serous ovarian cancer using DNA methylation patterns with deep machine learning (AI)
    Russo, Douglas
    Bosquet, Jesus Gonzalez
    Cardillo, Nicholas
    Newtson, Andreea
    Reyes, Henry
    Nobre, Silvana Pedra
    McDonald, Megan
    Bender, David
    Goodheart, Michael
    Nobre, Silvana Pedra
    GYNECOLOGIC ONCOLOGY, 2021, 162 : S240 - S240
  • [48] Smart Vending Machine System Prototyped with Deep- and Machine-Learning Technologies
    Chen, Chang-Jun
    Lin, Bo-Ru
    Lin, Cheng-Han
    Chen, Chi-Feng
    Tsai, Ming-Fong
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
  • [49] Deep Forest as a framework for a new class of machine-learning models
    Utkin, Lev V.
    Meldo, Anna A.
    Konstantinov, Andrei V.
    NATIONAL SCIENCE REVIEW, 2019, 6 (02) : 186 - 187
  • [50] Deep Forest as a framework for a new class of machine-learning models
    Lev V.Utkin
    Anna A.Meldo
    Andrei V.Konstantinov
    National Science Review, 2019, 6 (02) : 186 - 187