TY - GEN
T1 - Inference of tumor inhibition pathways from drug perturbation data
AU - Haider, Saad
AU - Pal, Ranadip
PY - 2013
Y1 - 2013
N2 - The tumor proliferation pathways for each individual patient encompass variations and a successful treatment regime based on targeted drugs necessitates the estimation of the influences of target inhibition on cell viability. In this article, we consider an inference approach to decipher the significant blocks of protein targets and the effect of their inhibition on tumor proliferation. Our framework is based on sequential search and non-linear optimization for estimating the block parameters. The proposed algorithm is tested on extensive synthetic data and provides high accuracy estimates for model parameters. We furthermore evaluated the performance of the framework in presence of noise and were able to achieve high precision cell viability prediction.
AB - The tumor proliferation pathways for each individual patient encompass variations and a successful treatment regime based on targeted drugs necessitates the estimation of the influences of target inhibition on cell viability. In this article, we consider an inference approach to decipher the significant blocks of protein targets and the effect of their inhibition on tumor proliferation. Our framework is based on sequential search and non-linear optimization for estimating the block parameters. The proposed algorithm is tested on extensive synthetic data and provides high accuracy estimates for model parameters. We furthermore evaluated the performance of the framework in presence of noise and were able to achieve high precision cell viability prediction.
UR - http://www.scopus.com/inward/record.url?scp=84897696788&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2013.6736823
DO - 10.1109/GlobalSIP.2013.6736823
M3 - Conference contribution
AN - SCOPUS:84897696788
SN - 9781479902484
T3 - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
SP - 95
EP - 98
BT - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
T2 - 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
Y2 - 3 December 2013 through 5 December 2013
ER -