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ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
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Simulating the probability of detecting DMRs or Epimutations

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Mar 2018Publisher:Zenodo
Authors: Chakravarthy, Ankur;

doi: 10.5281/zenodo.1205728 , 10.5281/zenodo.1205727

Simulating the probability of detecting DMRs or Epimutations

Abstract

The probability of detecting a DMR (epimutation) increases as the number of available features increases, even at shallow coverage per locus. Horizontal facets represent percentage of ctDNA in the plasma and vertical faces represent the number of tumor-specific DMRs. Y-axes represent the probability of detection and X-axis represent coverage per candidate DMR site. First run NewSim_10Iters.R and then Simulations_New.Rmd to get Figures 1A and S1

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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!
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