Simplifying the interpretation of steroid metabolome data by a machine-learning approach

被引:0
|
作者
Kirkgoz, Tarik [1 ]
Kilic, Semih [2 ]
Abali, Zehra Yavas [1 ]
Yaman, Ali [3 ]
Kaygusuz, Sare Betul [1 ]
Eltan, Mehmet [1 ]
Turan, Serap [1 ]
Haklar, Goncagul [3 ]
Sagiroglu, Mahmut Samil [4 ]
Bereket, Abdullah [1 ]
Guran, Tulay [1 ]
机构
[1] Marmara Univ, Sch Med, Dept Pediat Endocrinol & Diabet, Istanbul, Turkey
[2] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy
[3] Marmara Univ, Sch Med, Dept Biochem, Istanbul, Turkey
[4] Genpute Computat Technol, Istanbul, Turkey
来源
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
P1-3
引用
收藏
页码:128 / 128
页数:1
相关论文
共 50 条
  • [1] Machine-Learning Approach to Analysis of Driving Simulation Data
    Yoshizawa, Akira
    Nishiyama, Hiroyuki
    Iwasaki, Hirotoshi
    Mizoguchi, Fumio
    [J]. 2016 IEEE 15TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC), 2016, : 398 - 402
  • [2] Drug repositioning: a machine-learning approach through data integration
    Francesco Napolitano
    Yan Zhao
    Vânia M Moreira
    Roberto Tagliaferri
    Juha Kere
    Mauro D’Amato
    Dario Greco
    [J]. Journal of Cheminformatics, 5
  • [3] Reconciling schemas of disparate data sources: A machine-learning approach
    Doan, AH
    Domingos, P
    Halevy, A
    [J]. SIGMOD RECORD, 2001, 30 (02) : 509 - 520
  • [4] Drug repositioning: a machine-learning approach through data integration
    Napolitano, Francesco
    Zhao, Yan
    Moreira, Vania M.
    Tagliaferri, Roberto
    Kere, Juha
    D'Amato, Mauro
    Greco, Dario
    [J]. JOURNAL OF CHEMINFORMATICS, 2013, 5
  • [5] A hybrid machine-learning approach for segmentation of protein localization data
    Kasson, PM
    Huppa, JB
    Davis, MM
    Brunger, AT
    [J]. BIOINFORMATICS, 2005, 21 (19) : 3778 - 3786
  • [6] Machine-Learning Approach Reveals Microbiome, Metabolome, Lipidome, and Their Interaction in Type 1 Diabetes Mellitus
    Tan, Huiling
    Shi, Yu
    Yue, Tong
    Zheng, Dongxue
    Wang, Chaofan
    Liu, Ziyu
    Yang, Daizhi
    Ding, Yu
    Xu, Wen
    Yan, Jinhua
    Luo, Sihui
    Weng, Jianping
    Zheng, Xueying
    [J]. DIABETES, 2023, 72
  • [7] A Machine-Learning Approach to Time Discrimination
    Hansen, Peter
    [J]. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 2132 - 2133
  • [8] A machine-learning approach to automatic detection of delimiters in tabular data files
    Saurav, Shitesh
    Schwarz, Peter
    [J]. PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 2016, : 1501 - 1503
  • [9] Theory Identity: A Machine-Learning Approach
    Larsen, Kai R.
    Hovorka, Dirk
    West, Jevin
    Birt, James
    Pfaff, James R.
    Chambers, Trevor W.
    Sampedro, Zebula R.
    Zager, Nick
    Vanstone, Bruce
    [J]. 2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, : 4639 - 4648
  • [10] Predicting obesity and smoking using medication data: a machine-learning approach
    Ali, Sitwat
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2021, 50