Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study

2006 ◽  
pp. 110-121 ◽  
Author(s):  
Alireza Shaneh ◽  
Gregory Butler
Keyword(s):  
Neural Network ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Bayesian Learning ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Proteomic Data ◽  
Glycosylation Sites ◽  
Epidermal Growth

scholarly journals Characterization of Glycosylation Sites of the Epidermal Growth Factor Receptor†

Biochemistry ◽  
2003 ◽  
Vol 42 (18) ◽  
pp. 5478-5492 ◽  
Author(s):  
Yuejun Zhen ◽  
Richard M. Caprioli ◽  
James V. Staros
Keyword(s):  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Growth Factor Receptor ◽  
Glycosylation Sites ◽  
Epidermal Growth

scholarly journals Utilization of epidermal growth factor receptor (EGFR) testing in the United States: a case study of T3 translational research

2013 ◽  
Vol 15 (8) ◽  
pp. 630-638 ◽  
Author(s):  
Julie A. Lynch ◽  
Muin J. Khoury ◽  
Ann Borzecki ◽  
Jerry Cromwell ◽  
Laura L. Hayman ◽  
...  
Keyword(s):  
United States ◽  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Translational Research ◽  
Growth Factor Receptor ◽  
The United States ◽  
Epidermal Growth

Machine learning and optimization-based modeling for asset management: a case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrés Muñoz-Villamizar ◽  
Carlos Yohan Rafavy ◽  
Justin Casey
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Asset Allocation ◽  
Asset Management ◽  
Optimization Model ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Content Type ◽  
Demand Prediction

PurposeThis research is inspired by a real case study from a pump rental business company across the US. The company was looking to increase the utilization of its rental assets while, at the same time, keeping the cost of fleet mobilization as efficient as possible. However, decisions for asset movement between branches were largely arranged between individual branch managers on an as-needed basis.Design/methodology/approachThe authors propose an improvement for the company's asset management practice by modeling an integrated decision tool which involves evaluation of several machine learning algorithms for demand prediction and mathematical optimization for a centrally-planned asset allocation.FindingsThe authors found that a feed-forward neural network (FNN) model with single hidden layer is the best performing predictor for the company's intermittent product demand and the optimization model is proven to prescribe the most efficient asset allocation given the demand prediction from FNN model.Practical implicationsThe implementation of this new tool will close the gap between the company's current and desired future level of operational performance and consequently increase its competitivenessOriginality/valueThe results show a superior prediction performance by a feed-forward neural network model and an efficient allocation decision prescribed by the optimization model.

Noncovalent Mutant Selective Epidermal Growth Factor Receptor Inhibitors: A Lead Optimization Case Study

2015 ◽  
Vol 58 (22) ◽  
pp. 8877-8895 ◽  
Author(s):  
Robert Heald ◽  
Krista K. Bowman ◽  
Marian C. Bryan ◽  
Daniel Burdick ◽  
Bryan Chan ◽  
...  
Keyword(s):  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Growth Factor Receptor ◽  
Lead Optimization ◽  
Epidermal Growth

scholarly journals Nanoparticle–cell interactions induced apoptosis: a case study with nanoconjugated epidermal growth factor

Nanoscale ◽  
2018 ◽  
Vol 10 (14) ◽  
pp. 6712-6723 ◽  
Author(s):  
Ali Khanehzar ◽  
Juan C. Fraire ◽  
Min Xi ◽  
Amin Feizpour ◽  
Fangda Xu ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Cell Interactions ◽  
Cellular Processes ◽  
Epidermal Growth ◽  
Induced Apoptosis

In addition to the intrinsic toxicity associated with the chemical composition of nanoparticles (NP) and their ligands, inert biofunctionalized NP can perturb cellular processes and induce apoptosis.

scholarly journals Correction to Noncovalent Mutant Selective Epidermal Growth Factor Receptor Inhibitors: A Lead Optimization Case Study

2016 ◽  
Vol 59 (6) ◽  
pp. 2848-2848
Author(s):  
Robert Heald ◽  
Krista K. Bowman ◽  
Marian C. Bryan ◽  
Daniel Burdick ◽  
Bryan Chan ◽  
...  
Keyword(s):  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Growth Factor Receptor ◽  
Lead Optimization ◽  
Epidermal Growth

Epidermal growth factor enemas are effective in the treatment of left-sided ulcarative colitis

2001 ◽  
Vol 120 (5) ◽  
pp. A11-A12 ◽  
Author(s):  
A SINHA ◽  
J NIGHTINGALE ◽  
K WEST ◽  
R PLAYFORD
Keyword(s):  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Epidermal Growth
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