add logic for not removing outliers if they're not there
{PCA,NMF}Viz -> DataFrame{PCA,NMF} call
Add PredictorConfigManager back in, fix self._subset_singles_and_pooled, fix plot_feature to fail gracefully if there's no NMF  space transitions for that event
Edit ExpressionData.binify to normalize all features from 0 to 1
Fix pooled vs singles inconsistent to drop not measured in pooled
Fix lavalamp pooled inconsistent in study
update requirements, setup.py, version bump to 0.1.0