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Kinetic analysis for PET amyloid data PYTHON

I need to fit a simplified reference tissue model (srtm) to time-activity curves to different regions of the brain. The equation for this function is given below in the file. I need to fit the srtm to the measured data time-activity curves. I need to estimate the paramters R1, K2A AND K2' and then use an optimization algorithm (Levenberg-Marquardt optimization) to find the best fit of the model to the actual data. The parameters for the best fit then need to be generated.

Skills: Algorithm, Machine Learning, Python, Software Architecture

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About the Employer:
( 2 reviews ) Chafford Hundred, United Kingdom

Project ID: #18865246

3 freelancers are bidding on average £12/hour for this job

sapotacorp

Hi rohanmisra47, After carefully reviewing the experience requirements for the job description, we feel that we are suitable for the job. Our latest Python projects are: [login to view URL],cippo api,. Best regards, Michael

£20 GBP / hour
(21 Reviews)
5.6
x3reunion

i use tensorflow do many deep learning job. How about your project? give me the detail. .............

£11 GBP / hour
(0 Reviews)
0.0
nourddinebouaziz

hey,I have experience in optimization and meta heuristique and have worked on port optimization optimization using python -optimation scheduling -optimation VRP using python and algorithm genetic I have experience More

£5 GBP / hour
(0 Reviews)
0.0