sklearn.cross_validation.Bootstrap --> sklearn.cross_validation.ShuffleSplit (Bootstrap will be deprecated in 0.17)
Specify joblib version, otherwise modality calculation doesn't work
set study-global default sample id, event name, common id, and use those in tidy_splicing_with_expression and filter_splicing_on_expression
self.splicing.data is the dataframe, not self.splicing
add alt_name to _maybe_get_axis_name
SplicingData has _percent_pooled_consistent function
rename _percent_pooled_inconsistent to _divide_inconsistent_and_pooled
properly instantiate a series
don't make tidy splciing if not filtering on expression
add separate function for making dataframe of expression_vs_inconsistent_splicing, and plotting function
fix typo
plt.gca to get current ax, not plt.gcf
get expression bins from data_original, not data since expression threshold filtering is onthe original data
set ymin always to be 0
use pivot_table if multindex
add docstring, and deal with if there's no pooled sample in a group
add pdb set trace
return none if no pooled samples
Add warning that flotilla doesn't support multi-indexed dataframes
deal with nas