Probabilistic modeling and machine learning in structural and systems biology

被引:1
|
作者
Kaski, Samuel
Rousu, Juho
Ukkonen, Esko
机构
[1] Aalto Univ, Adapt Informat Res Ctr, FI-02015 Helsinki, Finland
[2] Aalto Univ, Helsinki Inst Informat Technol, Lab Comp & Informat Sci, FI-02015 Helsinki, Finland
[3] Univ Helsinki, Dept Comp Sci, Helsinki Inst Informat Technol, FI-00014 Helsinki, Finland
关键词
11;
D O I
10.1186/1471-2105-8-S2-S1
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This supplement contains extended versions of a selected subset of papers presented at the workshop PMSB 2007, Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, from June 17 to 18, 2006.
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Application of Probabilistic Modeling and Machine Learning to the Diagnosis of FTTH GPON Networks
    Gosselin, Stephane
    Courant, Jean-Luc
    Tembo, Serge Romaric
    Vaton, Sandrine
    2017 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELING (ONDM), 2017,
  • [22] MODELING OF DYNAMICAL SYSTEMS THROUGH MACHINE LEARNING
    Rajendra, P.
    Naidu, T. Gunavardhana
    Brahmajirao, V.
    ADVANCES AND APPLICATIONS IN MATHEMATICAL SCIENCES, 2021, 20 (11): : 2635 - 2644
  • [23] Three-Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning
    Kawo, Nafyad Serre
    Korus, Jesse
    Kishawi, Yaser
    Haacker, Erin Marie King
    Mittelstet, Aaron R.
    WATER RESOURCES RESEARCH, 2024, 60 (07)
  • [24] Probabilistic Modeling and Machine Learning for Preventative Maintenance Prediction in Semiconductor Manufacturing
    Wright, Tori
    Tse, Brian
    Nsiye, Emmanuel
    Azinord, Timothy
    Medina, David
    Mondesire, Sean
    2024 35TH ANNUAL SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE, ASMC, 2024,
  • [25] Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise Data
    Lu, XinJiang
    Ming, Li
    Liu, WenBo
    Li, Han-Xiong
    IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (08) : 2368 - 2377
  • [26] Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
    Sarmadi, Hassan
    Yuen, Ka-Veng
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 173
  • [27] Systems Biology and Machine Learning in Plant-Pathogen Interactions
    Mishra, Bharat
    Kumar, Nilesh
    Mukhtar, M. Shahid
    MOLECULAR PLANT-MICROBE INTERACTIONS, 2019, 32 (01) : 45 - 55
  • [28] Continuous Cotemporal Probabilistic Modeling of Systems Biology Networks from Sparse Data
    John, David J.
    Fetrow, Jacquelyn S.
    Norris, James L.
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2011, 8 (05) : 1208 - 1222
  • [29] Selected proceedings of Machine Learning in Systems Biology: MLSB 2016
    Aalt D. J. van Dijk
    Harri Lähdesmäki
    Dick de Ridder
    Juho Rousu
    BMC Bioinformatics, 17
  • [30] Selected proceedings of Machine Learning in Systems Biology: MLSB 2016
    van Dijk, Aalt D. J.
    Lahdesmaki, Harri
    de Ridder, Dick
    Rousu, Juho
    BMC BIOINFORMATICS, 2016, 17