Team:Heidelberg/Notebook/Modeling

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Modeling Notebook

Welcome to the notebook of the modeling project. This notebook includes the work in four different tracks: miBEAT, miRockdown, miBS Designer and the model training set. Have fun!

April

29.04.2010

  • Meeting with Nao
    • Discuss about last year's modeling approach
    • Problems to be avoided

July

  • Work starts full time

13.07.2010

  • Discussion about first model idea
The first model concept


21.07.2010

  • Discussion about programming languages
    • Advantages of R, Perl and MatLab
    • Decision to use Perl and Matlab
    • Request for Matlab license

August

05.08.2010

  • Activation of MatLab-Accounts

09.08.2010

  • Meeting with Dr. König
    • Advantages and disadvantages of different modeling approaches
    • Possibility to use Neuronal Networks and Support Vector Machines

11.08.2010

  • Activation of MatLab fuzzy logic toolbox

18.08.2010

  • Meeting with Tim and Nao
    • Options to optimize a fuzzy logic model

22.08.2010

  • Telemeeting with Stephen Krämer
    • Advantages and limitations of fuzzy logic

September

07.09.2010

  • Project miBEAT starts
    • decision to create an interactive GUI on the wiki
    • creation of test GUI using javascript
  • Activation of MatLab neural net toolbox
    • Start of Neural Network model

08.09.2010

  • Presentation of miBEAT project-concept in official team meeting

16-17.09.2010

  • 6th Workshop on Computation of Biochemical Pathways and Genetic Networks
    • Parameter estimation in fuzzy/noisy systems
    • Global sensitivity analysis
    • New approaches to spatial modeling
    • Computation of microRNA regulatory network
  • Discussion with Professor Sanghamitra Bandyopadhyay from the Machine Intelligence Unit of the Indian Statistical Institute in Kolkata
    • Advise to use a Rough set modeling approach

28.09.2010

  • Project miRockdown Starts
    • Development of miRockdown concept
    • Decision on the use of the modified targetscan_50_context_scores–Algorithm for binding site evaluation