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feature gaussian cleanup #64

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vicfabienne
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This PR contains 3 things:

  1. a minor fix in tissue.reconstruct to check the matrix format before building the sdg.
  2. a new FUN cleaning_expression_data using a BayesianGaussianMixtureModel in order to be able to clean reconstruction data to derive more realistic results
  3. a notebook to demonstrate the function and changes on the data on the example of the drosophila dataset

Details:
1)
The dynamic-matrix check fixes the bug that when the input-matrix is in sparse format building the sdge can lead to wrong dimensions. The check now corrects the matrix format if the given matrix is in sparse.

the cleanup function is using a BayesianMixtureModel and can be used for cleaning the reconstruction results to get a more realistic reconstruction.

The dynamic-matrix check fixes the bug that when the input-matrix is in sparse format building the sdge can lead to wrong dimensions. The check now corrects the matrix format if the given matrix is in sparse.
@vicfabienne
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sorry for the big bunch of white-space changes :}

* can deal with all-0 columns,
* sorts out NA columns after normalization
* distibution label filtering is done based on the values themself instead based on number of values per distribution
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