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Machine learning analysis of NCBI GSE studies for epigenomics.

appsOther research productkeyboard_double_arrow_right InteractiveResource 25 Nov 2020 English Publisher:Zenodo
Authors: Adriano Barbosa-Silva;

doi: 10.5281/zenodo.4291068 , 10.5281/zenodo.4291069

Machine learning analysis of NCBI GSE studies for epigenomics.

Abstract

Adriano Barbosa-Silva (2020) Machine learning analysis of NCBI GSE studies for epigenomics. In: International School on Big Data and Epigenomics applied to Public Health. Rio de Janeiro, Brazil (On-line event).

Practical course and lecture delivered at the 1st International School on Big Data and Epigenomics applied to Public Health. Rio de Janeiro, Brazil (On-line event).

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Keywords

machine learning, epigenomics, bioinformatics

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selected citations
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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).
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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.
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