mehmet umut caglar
mehmet umut caglar
Lead Data Scientist & Machine Learning Engineer @ State Street Corp.
Verified email at statestreet.com
Title
Cited by
Cited by
Year
Inferring causal molecular networks: empirical assessment through a community-based effort
Nature methods 13 (4), 310-318, 2016
1842016
Single-cell virology: on-chip investigation of viral infection dynamics
F Guo, S Li, MU Caglar, Z Mao, W Liu, A Woodman, JJ Arnold, CO Wilke, ...
Cell reports 21 (6), 1692-1704, 2017
392017
The E. coli molecular phenotype under different growth conditions
MU Caglar, JR Houser, CS Barnhart, DR Boutz, SM Carroll, A Dasgupta, ...
Scientific reports 7 (1), 1-15, 2017
242017
Robust approaches for genetic regulatory network modeling and intervention: A review of recent advances
R Pal, S Bhattacharya, MU Caglar
IEEE Signal Processing Magazine 29 (1), 66-76, 2011
172011
Sicegar: R package for sigmoidal and double-sigmoidal curve fitting
MU Caglar, AI Teufel, CO Wilke
PeerJ 6, e4251, 2018
162018
More than efficacy revealed by single-cell analysis of antiviral therapeutics
W Liu, MU Caglar, Z Mao, A Woodman, JJ Arnold, CO Wilke, CE Cameron
Science advances 5 (10), eaax4761, 2019
52019
A diverse stochastic search algorithm for combination therapeutics
MU Caglar, R Pal
BioMed research international 2014, 2014
42014
Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior
R Pal, MU Caglar
2010 IEEE International Workshop on Genomic Signal Processing and Statistics …, 2010
32010
Predicting bacterial growth conditions from mRNA and protein abundances
MU Caglar, AJ Hockenberry, CO Wilke
PloS one 13 (11), e0206634, 2018
22018
Stochastic model simulation using Kronecker product analysis and Zassenhaus formula approximation
MU Caglar, R Pal
IEEE/ACM transactions on computational biology and bioinformatics 10 (5 …, 2013
22013
Stochastic modeling and simulation of biological systems
MU Caglar
2014
Complexity reduction of stochastic master equation simulation based on Kronecker product analysis
MU Caglar, R Pal
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
2012
Efficient Stochastic Model Simulation by Using Zassenhaus Formula Approximation and Kronecker Product Analysis
M Umut Caglar, R Pal
APS Texas Sections Fall Meeting Abstracts, B3. 007, 2012
2012
2012 Index IEEE Signal Processing Magazine Vol. 29
LM Abriola, A Aghasi, B Akin, M Alizadeh, F Aminzadeh, J Andrade, ...
Lecture Notes]; MSP July 90, 96, 2012
2012
TA Mentorship in Lecture significantly enhances students' learning in mechanics in large introductory physics classes
K Cheng, M Caglar
APS Texas Sections Fall Meeting Abstracts, F2. 003, 2011
2011
Comparison of Control Approaches in Genetic Regulatory Networks by Using Stochastic Master Equation Models, Probabilistic Boolean Network Models and Differential Equation …
M Umut Caglar, R Pal
APS Meeting Abstracts 1, 40014, 2011
2011
Integrating pre-, in-and post-lecture activities to improve students' learning in a large introductory physics course
K Cheng, M Caglar, A Pietan, H Dulli
APS March Meeting Abstracts 2011, L14. 003, 2011
2011
Comparison of Control Approaches in Genetic Regulatory Networks by Using Stochastic Master Equation Models, Probabilistic Boolean Network Models and Differential Equation …
MU Caglar, R Pal
APS March Meeting Abstracts 2011, X40. 014, 2011
2011
Control of Stochastic Master Equation Models of Genetic Regulatory Networks by Approximating Their Average Behavior
M Umut Caglar, R Pal
APS Texas Sections Fall Meeting Abstracts, FM3. 005, 2010
2010
An online and integrative computer-based approach to improve students' learning in a large introductory physics course
K Cheng, M Caglar
APS Texas Sections Fall Meeting Abstracts, SM6. 002, 2010
2010
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