An experimental study of information content measurement of gene ontology terms

被引:0
|
作者
Marianna Milano
Giuseppe Agapito
Pietro H. Guzzi
Mario Cannataro
机构
[1] University of Catanzaro,Department of Surgical and Medical Sciences
关键词
Information content; Gene ontology; Semantic similarity;
D O I
暂无
中图分类号
学科分类号
摘要
The gene ontology (GO) is commonly used to store and organize information about functions of biological molecules through a controlled vocabulary of terms (GO Terms). GO Terms refer to biological concepts through the annotation process. There exist many different annotation processes used by researchers. Each term has a different specificity that is formally measured by the information content (IC). Both the structure of GO and the corpora of annotations are continuously changing following novel experimental findings. This work focuses on how changes of annotations affect the IC of terms. The study confirms that statistically significant differences among annotation corpus of different years on each species occur. These results convey that annotation corpora changes have a high impact on IC.
引用
收藏
页码:427 / 439
页数:12
相关论文
共 50 条
  • [1] An experimental study of information content measurement of gene ontology terms
    Milano, Marianna
    Agapito, Giuseppe
    Guzzi, Pietro H.
    Cannataro, Mario
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (03) : 427 - 439
  • [2] Biases in Information Content Measurement of Gene Ontology Terms
    Milano, Marianna
    Agapito, Giuseppe
    Guzzi, Pietro H.
    Cannataro, Mario
    2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2014,
  • [3] An Integrated Information-Based Similarity Measurement of Gene Ontology Terms
    Zhang, Shu-Bo
    Lai, Jian-Huang
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2015, 12 (04) : 1235 - 1253
  • [4] Predicting protein subcellular localization based on information content of gene ontology terms
    Zhang, Shu-Bo
    Tang, Qiang-Rong
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2016, 65 : 1 - 7
  • [5] Semantic similarity measurement between gene ontology terms based on exclusively inherited shared information
    Zhang, Shu-Bo
    Lai, Jian-Huang
    GENE, 2015, 558 (01) : 108 - 117
  • [6] Validating gene clusterings by selecting informative gene ontology terms with mutual information
    Costa, Ivan G.
    de Souto, Marcilio C. P.
    Schliep, Alexander
    ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, PROCEEDINGS, 2007, 4643 : 81 - +
  • [7] Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products
    Gan, Mingxin
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2014, 2014
  • [8] A method for exploring Tissue-Specific Functions based on Information Content of Gene Ontology Terms using CAGE tags
    Maekawa, Sami
    Matsumoto, Atsuko
    Takenaka, Yoichi
    Matsuda, Hideo
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6, 2007, 14 : 163 - +
  • [9] Inferring semantic similarity through correlating information contents of gene ontology terms
    Gan, Mingxin
    Jiang, Rui
    2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,
  • [10] The compositional structure of gene ontology terms
    Ogren, PV
    Cohen, KB
    Acquaah-Mensah, GK
    Eberlein, J
    Hunter, L
    PACIFIC SYMPOSIUM ON BIOCOMPUTING 2004, 2003, : 214 - 225