Formulating and testing hypotheses in functional genomics
Artificial Intelligence in Medicine
TreeHugger: A New Test for Enrichment of Gene Ontology Terms
INFORMS Journal on Computing
Computing with words with the ontological self-organizing map
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Biological cluster validity indices based on the gene ontology
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Kernel: based visualisation of genes with the gene ontology
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
| Hi-index | 3.85 |
Summary: Analysis of microarray data most often produces lists of genes with similar expression patterns, which are then subdivided into functional categories for biological interpretation. Such functional categorization is most commonly accomplished using Gene Ontology (GO) categories. Although there are several programs that identify and analyze functional categories for human, mouse and yeast genes, none of them accept Arabidopsis thaliana data. In order to address this need for A.thaliana community, we have developed a program that retrieves GO annotations for A.thaliana genes and performs functional category analysis for lists of genes selected by the user. Availability: http://www.personal.psu.edu/nhs109/Clench