| Original language | English |
|---|---|
| Article number | 4921 |
| Number of pages | 1 |
| Journal | Cancer Research |
| Volume | 72 |
| Issue number | 8 Suppl |
| DOIs | |
| 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 |
Cite this
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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
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 -