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Liju Fan

dblp:83/4074 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 50% Computational science and engineering · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › scientific data management
data standards
0.112006
The MGED Ontology: a resource for semantics-based description of microarray experiments · Bioinform. 2006
Bioinformatics and computational biology › ontology
ontology development
0.112006
The MGED Ontology: a resource for semantics-based description of microarray experiments · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

ontology engineering · 0.1
YearPublicationVenuePosition
2006 The MGED Ontology: a resource for semantics-based description of microarray experiments
abstract
MOTIVATION: The generation of large amounts of microarray data and the need to share these data bring challenges for both data management and annotation and highlights the need for standards. MIAME specifies the minimum information needed to describe a microarray experiment and the Microarray Gene Expression Object Model (MAGE-OM) and resulting MAGE-ML provide a mechanism to standardize data representation for data exchange, however a common terminology for data annotation is needed to support these standards. RESULTS: Here we describe the MGED Ontology (MO) developed by the Ontology Working Group of the Microarray Gene Expression Data (MGED) Society. The MO provides terms for annotating all aspects of a microarray experiment from the design of the experiment and array layout, through to the preparation of the biological sample and the protocols used to hybridize the RNA and analyze the data. The MO was developed to provide terms for annotating experiments in line with the MIAME guidelines, i.e. to provide the semantics to describe a microarray experiment according to the concepts specified in MIAME. The MO does not attempt to incorporate terms from existing ontologies, e.g. those that deal with anatomical parts or developmental stages terms, but provides a framework to reference terms in other ontologies and therefore facilitates the use of ontologies in microarray data annotation. AVAILABILITY: The MGED Ontology version.1.2.0 is available as a file in both DAML and OWL formats at http://mged.sourceforge.net/ontologies/index.php. Release notes and annotation examples are provided. The MO is also provided via the NCICB's Enterprise Vocabulary System (http://nciterms.nci.nih.gov/NCIBrowser/Dictionary.do). CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Patricia L. Whetzel, Helen E. Parkinson, Helen C. Causton, Liju Fan, Jennifer Fostel, Gilberto Fragoso, Laurence Game, Mervi Heiskanen, Norman Morrison, Philippe Rocca-Serra, Susanna-Assunta Sansone, Chris F. Taylor, Joseph White, Christian J. Stoeckert Jr.
Bioinform.4
2005 Building a Hospital Incident Reporting Ontology (HIRO) in the Web Ontology Language (OWL) using the JCAHO Patient Safety Event Taxonomy (PSET)
Liju Fan, Annette Smith, Douglas Boenning, Gerard Castro, Stacey Champagne, Jerod M. Loeb
AMIA1