Adding MODZ Consensus Signature Operation

[gwaybio]

closes #52

This PR introduces the full functionality to calculate MODZ consensus signatures as introduced in the L1000 Paper. The new modz function implements the moderated z-score transformation as described in https://clue.io/connectopedia/replicate_collapse

This might be helpful to @hkhawar in analyzing drug repurposing cell painting. I think @shntnu was also interested in this at one point.

[codecov-io]

Codecov Report

Merging #53 into master will increase coverage by 0.3%.
The diff coverage is 98.75%.

@@            Coverage Diff            @@
##           master      #53     +/-   ##
=========================================
+ Coverage   96.21%   96.52%   +0.3%     
=========================================
  Files          34       36      +2     
  Lines        1349     1496    +147     
=========================================
+ Hits         1298     1444    +146     
- Misses         51       52      +1

Impacted Files	Coverage Δ
pycytominer/tests/test_variance_threshold.py	100% <100%> (ø)	⬆️
pycytominer/tests/test_get_na_columns.py	100% <100%> (ø)	⬆️
pycytominer/cyto_utils/util.py	100% <100%> (ø)	⬆️
pycytominer/cyto_utils/features.py	76.19% <100%> (+1.19%)	⬆️
pycytominer/tests/test_cyto_utils/test_util.py	100% <100%> (ø)	⬆️
...ycytominer/tests/test_cyto_utils/test_consensus.py	100% <100%> (ø)
pycytominer/variance_threshold.py	96.87% <100%> (+0.1%)	⬆️
pycytominer/correlation_threshold.py	100% <100%> (+3.44%)	⬆️
pycytominer/tests/test_correlation_threshold.py	100% <100%> (ø)	⬆️
...ominer/tests/test_cyto_utils/test_feature_infer.py	100% <100%> (ø)	⬆️
... and 5 more

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