An information theoretic approach to assessing gene-ontology-driven similarity and its application

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

Original language	English
Pages (from-to)	121-134
Journal	International Journal of Data Mining and Bioinformatics
Volume	9
Issue number	2
DOIs	https://doi.org/10.1504/IJDMB.2014.059061
Publication status	Published (in print/issue) - 2014

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@article{52122f3c521542af93f7a43753ca44f6,

title = "An information theoretic approach to assessing gene-ontology-driven similarity and its application",

author = "Haiying Wang and Francisco Azuaje and Huiru Zheng",

year = "2014",

doi = "10.1504/IJDMB.2014.059061",

language = "English",

volume = "9",

pages = "121--134",

journal = "International Journal of Data Mining and Bioinformatics",

issn = "1748-5681",

publisher = "Inderscience Publishers",

number = "2",

}

TY - JOUR

T1 - An information theoretic approach to assessing gene-ontology-driven similarity and its application

AU - Wang, Haiying

AU - Azuaje, Francisco

AU - Zheng, Huiru

PY - 2014

Y1 - 2014

U2 - 10.1504/IJDMB.2014.059061

DO - 10.1504/IJDMB.2014.059061

M3 - Article

SN - 1748-5681

VL - 9

SP - 121

EP - 134

JO - International Journal of Data Mining and Bioinformatics

JF - International Journal of Data Mining and Bioinformatics

IS - 2

ER -