CroGO statistics

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Citations per year

Number of citations per year for the bioinformatics software tool CroGO
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CroGO specifications

Information


Unique identifier OMICS_25646
Name CroGO
Alternative name CroGo2
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Two gene ontology categories and a gene co-functional network.
Operating system Unix/Linux, Windows
Programming languages Java
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Yadong Wang
  • person_outline Jiajie Peng
  • person_outline Xuequn Shang

Publications for CroGO

CroGO citations

 (2)
library_books

InfAcrOnt: calculating cross ontology term similarities using information flow by a random walk

2018
BMC Genomics
PMCID: 5780854
PMID: 29363423
DOI: 10.1186/s12864-017-4338-6

[…] terms (Fig. ) and pair-wise DO-GO terms (Fig. ). The high correlations between similarity based on existing methods and similarity based on prior knowledge show that the performance of the ASR, VSM, CroGO, and InfAcrOnt methods are also good for other ontologies besides sub-ontologies of GO. Considering the fluctuation of the performance of the ASR and CroGO (Figs.  and ) methods, the VSM and Inf […]

library_books

A framework for exploring associations between biomedical terms in PubMed

2017
Oncotarget
PMCID: 5732714
PMID: 29262548
DOI: 10.18632/oncotarget.21532

[…] for this. To explore associations between terms across ontologies, three methods involving Vector Space Model (VSM) [], Association Rule Mining (ASR) [], and Cross-Category Gene Ontology Measurement (CroGO) methods [] were designed.Two terms occurs in common sentence, abstract, documents of a literature is deemed as co-occurrence relationships. The co-occurrence relationships occur widely in commo […]


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CroGO institution(s)
School of Computer Science, Northwestern Polytechnical University, Xi’an, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
CroGO funding source(s)
Supported by National Natural Science Foundation of China (Grant No. 61702421), Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2017JQ6047), China Postdoctoral Science Foundation (Grant No. 2017M610651), the Fundamental Research Funds for the Central Universities (Grant No. 3102016QD003), National Natural Science Foundation of China (Grant No. 61602386 and 61332014).

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