Noah Berlow

According to our database1, Noah Berlow authored at least 12 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Computational approaches to drug sensitivity prediction and personalized cancer therapy.
PhD thesis, 2018

2017
Combination therapy design for maximizing sensitivity and minimizing toxicity.
BMC Bioinform., 2017

2014
An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Inference of dynamic biological networks based on responses to drug perturbations.
EURASIP J. Bioinform. Syst. Biol., 2014

2013
A new approach for prediction of tumor sensitivity to targeted drugs based on functional data.
BMC Bioinform., 2013

Quantifying the inference power of a drug screen for predictive analysis.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

2012
Analyzing pathway design from drug perturbation experiments.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A Kinase Inhibition Map Approach for Tumor Sensitivity Prediction and Combination Therapy Design for Targeted Drugs.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Combination therapy design for targeted therapeutics from a drug-protein interaction perspective.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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