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Interactive visualizations for differential expression

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These stack traces show up during the test run: The tests still pass, but the noise is distracting: ``` test_bad_config_html_error_true (tests.test_app_runner.TestAppRunner) ... /Users/chuck/github/refinery-platform/heatmap-scatter-dash/context/app_runner.py:114: UserWarning: Traceback (most recent call last): File...

Pasted ~50 gene IDs into search box, but the Heatmap and Sample-by-Sample plots never updated.

bug

There's plenty of room... let's just have the points of the conditions scatterplot labelled by default: Hover shouldn't be required.

From Geoff: > For *Sample-by-Sample*, can we calculate a correlation coefficient between the displayed conditions and show that somewhere on the plot? Maybe on a line below?

From geoff: > When plotting large data from Shannan (normalized_counts.csv, expt_vs_control_de.csv): > - I searched for a gene (ENSMUSG00000000037) in the search box below the Heatmap > - The Heatmap...

... and have that update scatterplots

with 10K strings to search, the inefficiency of the linear search starts to become apparent. Is there a python package that will give us simple in memory substring searches?

The modebar which shows up on hover has a higher z-index than the pulldowns... Maybe up the z index of the pulldown?