CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data

@inproceedings{Feichtinger2012CancerMAAW,
  title={CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data},
  author={Julia Feichtinger and Ramsay J. McFarlane and Lee D. Larcombe},
  booktitle={Database},
  year={2012}
}
The identification of novel candidate markers is a key challenge in the development of cancer therapies. This can be facilitated by putting accessible and automated approaches analysing the current wealth of 'omic'-scale data in the hands of researchers who are directly addressing biological questions. Data integration techniques and standardized, automated, high-throughput analyses are needed to manage the data available as well as to help narrow down the excessive number of target gene… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 2 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

BEX3 contributes to cisplatin chemoresistance in nasopharyngeal carcinoma

Cancer medicine • 2017
View 3 Excerpts
Method Support
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 66 references

NCBI GEO: archive for functional genomics data sets—10 years on

Nucleic Acids Research • 2011
View 7 Excerpts
Highly Influenced

Ensembl 2012

Nucleic Acids Research • 2012

Gemma: A re- source for the re-use, sharing and meta-analysis of expression pro- filing

A. Zoubarev, K. M. Hamer, Keshav, K.D
data. Bioinformatics, • 2012
View 2 Excerpts