Chapter 15: Disease Gene Prioritization

@inproceedings{Bromberg2013Chapter1D,
  title={Chapter 15: Disease Gene Prioritization},
  author={Yana Bromberg},
  booktitle={PLoS Computational Biology},
  year={2013}
}
Disease-causing aberrations in the normal function of a gene define that gene as a disease gene. Proving a causal link between a gene and a disease experimentally is expensive and time-consuming. Comprehensive prioritization of candidate genes prior to experimental testing drastically reduces the associated costs. Computational gene prioritization is based on various pieces of correlative evidence that associate each gene with the given disease and suggest possible causal links. A fair amount… CONTINUE READING
Highly Cited
This paper has 53 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 7 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

A correlation based matrix completion approach to gene expression prediction

2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) • 2017
View 1 Excerpt

Omics Informatics: From Scattered Individual Software Tools to Integrated Workflow Management Systems

IEEE/ACM Transactions on Computational Biology and Bioinformatics • 2017
View 1 Excerpt

54 Citations

051015'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 54 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 176 references

WEKA - Experiences with a Java Open-Source Project

Journal of Machine Learning Research • 2010
View 7 Excerpts
Highly Influenced

The WEKA data mining software: an update

SIGKDD Explorations • 2009
View 7 Excerpts
Highly Influenced