Database Reference
In-Depth Information
concluSIon And
further WorkS
Brazma, A., Hingamp, P., Quackenbush, J.,
Sherlock, G., Spellman, P., & Stoeckert, C.
(2001). Minimum information about a microar-
ray experiment (miame)- toward standards for
microarray data.
Nature Genetics
,
29
(4), 365-371.
doi:10.1038/ng1201-365
In this chapter we have presented the AMI solu-
tion that provides an intelligent tool for retrieving
relevant information in comparative analyses of
gene expression data with semantic aspects.
We have explained the need for biologists to
access multiple sources of information to infer
valuable new knowledge. And we have shown
that so called meta-analyses were not fitted to
encompass a wide variety of data.
The AMI framework was designed both to in-
tegrate all useful data and to retrieve them thanks
to semantic tools that are able to use semantic
concepts and relationships and to give approximate
answers and infer new knowledge.
Major research effort presented in the chapter
was first done on collecting requirements of future
users (biologists) to fit their specific demand and
on the way semantic web techniques would be em-
ployed. Some experiments have been conducted
for testing the semantic solution feasibility.
Current works are devoted to AMI implemen-
tation and consist partly on studying solutions to
collect all heterogeneous related data in order to
drive real scale tests on the system.
Choi, I., & Kim, M. (2003). Topic distillation using
hierarchy concept tree. In
ACM SIGIR conference
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Choi, J., Yu, U., Kim, S., & Yoo, O. (2003).
Combining multiple microarray studies and
modeling interstudy variation.
Bioinformatics
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Cleveland, W., & Devlin, S. (1979). Robust locally
weighted regression and smoothing scatterplots.
Journal of the American Statistical Association
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Corby, O., Dieng-Kuntz, R., Faron-Zucker, C.,
& Gandon, F. (2006). Searching the semantic
web: Approximate query processing based on on-
tologies.
IEEE Intelligent Systems
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Eapen, B. R. (2008). Ontoderm - a domain on-
tology for dermatology.
Dermatology Online
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AknoWledgMent
Eisen, M., Spellman, P., Brown, P. O., & Botstein,
D. (1998). Cluster analysis and display of genome
wide expression patterns.
Proceedings of the Na-
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of America
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(25), 14863-14868. doi:10.1073/
pnas.95.25.14863
This work was partially supported by the Immu-
nosearch
8
project
referenceS
Hong, F., & Breitling, R. (2008). A comparison of
metaanalysis methods for detecting differentially
expressed genes in microarray experiments.
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