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

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

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Idowu, M. A., Bown, J., & Zhelev, N. (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. Cancer Research, 72(8 Suppl), [4921]. https://doi.org/10.1158/1538-7445.AM2012-4921

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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",

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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

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JO - Journal of Cancer Research

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T2 - American Association for Cancer Research 103rd Annual Meeting

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