Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata

Wei Hu; Amrapali Zaveri; Honglei Qiu; Michel Dumontier

doi:10.1186/s12859-017-1832-4

Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata

Wei Hu, Amrapali Zaveri, Honglei Qiu, Michel Dumontier^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Web of Science)

Original language	English
Journal	BMC Bioinformatics
Volume	18
DOIs	https://doi.org/10.1186/s12859-017-1832-4
Publication status	Published - 18 Sep 2017

Keywords

GEO
Metadata
Data quality
Clustering
Biomedical
Experimental data
Reusability

Access to Document

10.1186/s12859-017-1832-4

Cite this

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title = "Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata",

keywords = "GEO, Metadata, Data quality, Clustering, Biomedical, Experimental data, Reusability",

author = "Wei Hu and Amrapali Zaveri and Honglei Qiu and Michel Dumontier",

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day = "18",

doi = "10.1186/s12859-017-1832-4",

language = "English",

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issn = "1471-2105",

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AU - Hu, Wei

AU - Zaveri, Amrapali

AU - Qiu, Honglei

AU - Dumontier, Michel

PY - 2017/9/18

Y1 - 2017/9/18

KW - GEO

KW - Metadata

KW - Data quality

KW - Clustering

KW - Biomedical

KW - Experimental data

KW - Reusability

U2 - 10.1186/s12859-017-1832-4

DO - 10.1186/s12859-017-1832-4

M3 - Article

C2 - 28923003

VL - 18

JO - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

ER -