Analyzing Gene Expression Time-Courses
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
On discovery of maximal confident rules without support pruning in microarray data
Proceedings of the 5th international workshop on Bioinformatics
Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework
Artificial Intelligence in Medicine
High Confidence Rule Mining for Microarray Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
SEGS: Search for enriched gene sets in microarray data
Journal of Biomedical Informatics
MCBC'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Biology & Chemistry
Fuzzy c-means clustering with prior biological knowledge
Journal of Biomedical Informatics
Formulating and testing hypotheses in functional genomics
Artificial Intelligence in Medicine
Detection of Locally Over-Represented GO Terms in Protein-Protein Interaction Networks
RECOMB 2'09 Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology
Interpretation of gene expression microarray experiments
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Goal driven analysis of cDNA microarray data
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
An application of kernel methods to gene cluster temporal meta-analysis
Computers and Operations Research
Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Computing consistency between microarray data and known gene regulation relationships
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Cis regulatory module discovery in immune cell development
ISB '10 Proceedings of the International Symposium on Biocomputing
Discovering relations among GO-annotated clusters by Graph Kernel methods
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Efficient generation of biologically relevant enriched gene sets
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Invited talk: a computational study of bidirectional promoters in the human genome
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Validating gene clusterings by selecting informative gene ontology terms with mutual information
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
TreeHugger: A New Test for Enrichment of Gene Ontology Terms
INFORMS Journal on Computing
Construction of gene networks with hybrid approach from expression profile and gene ontology
IEEE Transactions on Information Technology in Biomedicine
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A systematic comparison of genome scale clustering algorithms
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
Biological cluster validity indices based on the gene ontology
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Annotation concept synthesis and enrichment analysis
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Spectral clustering gene ontology terms to group genes by function
WABI'05 Proceedings of the 5th International conference on Algorithms in Bioinformatics
An improved statistic for detecting over-represented gene ontology annotations in gene sets
RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology
Kernel: based visualisation of genes with the gene ontology
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Identifying significant associations of orthologous simple sequence repeats with gene ontologies
International Journal of Data Mining and Bioinformatics
Prioritizing Disease Genes and Understanding Disease Pathways
International Journal of Knowledge Discovery in Bioinformatics
Hi-index | 3.84 |
Summary: Modern experimental techniques, as for example DNA microarrays, as a result usually produce a long list of genes, which are potentially interesting in the analyzed process. In order to gain biological understanding from this type of data, it is necessary to analyze the functional annotations of all genes in this list. The Gene-Ontology (GO) database provides a useful tool to annotate and analyze the functions of a large number of genes. Here, we introduce a tool that utilizes this information to obtain an understanding of which annotations are typical for the analyzed list of genes. This program automatically obtains the GO annotations from a database and generates statistics of which annotations are overrepresented in the analyzed list of genes. This results in a list of GO terms sorted by their specificity. Availability: Our program GOstat is accessible via the Internet at http://gostat.wehi.edu.au