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cangermueller/deepcpg: Adds evaluation scripts and notebooks, improves documentation, and fixes minor bugs.

Authors: Christof Angermueller;

cangermueller/deepcpg: Adds evaluation scripts and notebooks, improves documentation, and fixes minor bugs.

Abstract

Adds dcpg_eval_perf.py and R markdown files for computing and visualizing performance metrics genome-wide and in annotated contexts. Adds dcpg_snp.py for computing mutation effects. Adds notebooks on computing mutation effects and predicting inter-cell statistics. Adds documentation of DeepCpG scripts. Adds integration tests. Includes minor bug-fixes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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1