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bio.tools
Software . 2019
License: MIT
Data sources: bio.tools
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SEMA

Authors: Komurov, Kakajan;
Abstract

> COMMON LINK WITH (PUB. & NAME DIFFERENT) bio.tools/gddp (RESEARCH.CCHMC.ORG) | > CORRECT NAME OF TOOL COULD ALSO BE CONCLUSION:SEMA | Graphical data mining of cancer mechanisms with SEMA | SEMA is a graphical hypothesis testing platform for multidimensional cancer genomics data | SEMA is a graphical hypothesis testing platform for multidimensinoal cancer genomics data, written in R Shiny and JavaScript. SEMA uses Structural Equation Modeling (SEM) for the analyses of graphical models | Free HTML5 Template by FreeHTML5.CO | Graphical data mining from cancer genomic datasets

Keywords

Oncology, Electron microscopy, Data mining

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    popularity
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    influence
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citations
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!
0
Average
Average
Average
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