A new method for identifying a data-consistent self-reconfigurable predictive bio-network model of the cell cycle based on time series data and its application in cancer systems biology

Michael A. Idowu, James Bown, Nikolai Zhelev

    Research output: Contribution to journalMeeting Abstract

    Original languageEnglish
    Article number4921
    Number of pages1
    JournalCancer Research
    Volume72
    Issue number8 Suppl
    DOIs
    Publication statusPublished - 15 Apr 2012
    EventAmerican Association for Cancer Research 103rd Annual Meeting - Chicago, United States
    Duration: 31 Mar 20124 Apr 2012

    Cite this

    @article{0e3ad15f99434910a7341bb69555922a,
    title = "A new method for identifying a data-consistent self-reconfigurable predictive bio-network model of the cell cycle based on time series data and its application in cancer systems biology",
    author = "Idowu, {Michael A.} and James Bown and Nikolai Zhelev",
    year = "2012",
    month = "4",
    day = "15",
    doi = "10.1158/1538-7445.AM2012-4921",
    language = "English",
    volume = "72",
    journal = "Journal of Cancer Research",
    issn = "0008-5472",
    publisher = "AMER ASSOC CANCER RESEARCH",
    number = "8 Suppl",

    }

    A new method for identifying a data-consistent self-reconfigurable predictive bio-network model of the cell cycle based on time series data and its application in cancer systems biology. / Idowu, Michael A.; Bown, James; Zhelev, Nikolai.

    In: Cancer Research, Vol. 72, No. 8 Suppl, 4921, 15.04.2012.

    Research output: Contribution to journalMeeting Abstract

    TY - JOUR

    T1 - A new method for identifying a data-consistent self-reconfigurable predictive bio-network model of the cell cycle based on time series data and its application in cancer systems biology

    AU - Idowu, Michael A.

    AU - Bown, James

    AU - Zhelev, Nikolai

    PY - 2012/4/15

    Y1 - 2012/4/15

    U2 - 10.1158/1538-7445.AM2012-4921

    DO - 10.1158/1538-7445.AM2012-4921

    M3 - Meeting Abstract

    VL - 72

    JO - Journal of Cancer Research

    JF - Journal of Cancer Research

    SN - 0008-5472

    IS - 8 Suppl

    M1 - 4921

    ER -