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

doi:10.1158/1538-7445.AM2012-4921

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 journal › Meeting Abstract › peer-review

Original language	English
Article number	4921
Number of pages	1
Journal	Cancer Research
Volume	72
Issue number	8 Suppl
DOIs	https://doi.org/10.1158/1538-7445.AM2012-4921
Publication status	Published - 15 Apr 2012
Event	American Association for Cancer Research 103rd Annual Meeting - Chicago, United States Duration: 31 Mar 2012 → 4 Apr 2012

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10.1158/1538-7445.AM2012-4921

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 = apr,

day = "15",

doi = "10.1158/1538-7445.AM2012-4921",

language = "English",

volume = "72",

journal = "Cancer Research",

issn = "0008-5472",

publisher = "American Association for Cancer Research Inc.",

number = "8 Suppl",

note = "American Association for Cancer Research 103rd Annual Meeting, AACR ; Conference date: 31-03-2012 Through 04-04-2012",

}

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 journal › Meeting Abstract › peer-review

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

SN - 0008-5472

VL - 72

JO - Cancer Research

JF - Cancer Research

IS - 8 Suppl

M1 - 4921

T2 - American Association for Cancer Research 103rd Annual Meeting

Y2 - 31 March 2012 through 4 April 2012

ER -