Estimate parameters for modeling ion channels with no patch clamp data available

[VahidGh]

Using some machine learning algorithms we should estimate parameters such as Conductance, reverse potential, and the rate of activation/inactivation in order to build HH models for ion channels with no patch clamp data available. The steps would be as follow:

• [ ] Find data-sets and decide on the input types
• [ ] Decide on the structural properties of ion channels could be used for the feature selection
• [ ] Choose the right algorithm for this purpose
• [ ] Do the preprocessing step
• [ ] Do the training step
• [ ] Validate and improve results

[travs]

@vahidgh @a-palyanov

Hey guys, since our discussion last week, what do you think are some concrete next actions for moving this one forward? Perhaps we can raise them in sub-issues?

[VahidGh]

@travs, #112, #113, and #114 are starting points for this issue.

[travs]

@VahidGh Excellent! Please close #106 if it is redundant now; I'm not sure.

[VahidGh]

@travs, actually I separated #106 to three different issues.

[travs]

Ok, I'll update #106 to reflect this.