Author

Anamaria Crisan

University of British ColumbiaORCID 0000-0003-3445-3414Unclaimed ORCID profile · follow to get notified of new preprints

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Anamaria Crisan1 paper

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Jennifer L. GardyiD· 3 shared Tamara MunzneriD· 3 shared Geoffrey R. McKeeiD· 1 shared

Activity by Year

2018-2018 · peak 3/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Jennifer L. GardyORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedSep 24, 2018

A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT

Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner

The paper introduces a method to systematically survey data visualizations and creates a genomic epidemiology visualization typology (GEViT) with an online gallery.

23 citations

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 22, 2018

Adjutant: an R-based tool to support topic discovery for systematic and literature reviews

Anamaria Crisan, Tamara Munzner, Jennifer L. Gardy

Adjutant is an R-based tool that helps users mine PubMed for systematic reviews by clustering articles into topics and sampling documents efficiently.

18 citationstop 2%

statistical modelmachine learning (classical)

𝕏 PostBluesky

GenomicsPeerJPeer-reviewedJan 10, 2018

Evidence-Based Design and Evaluation of a Whole Genome Sequencing Clinical Report for the Reference Microbiology Laboratory

Anamaria Crisan, Geoffrey R. McKee, Tamara Munzner, Jennifer L. Gardy

The paper designs and evaluates a whole genome sequencing clinical report for tuberculosis using a human-centered approach with expert feedback and surveys.

57 citationstop 1%

whole-genome sequencingstatistical model

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