The art of gene function prediction

@article{Murali2006TheAO,
  title={The art of gene function prediction},
  author={T. M. Murali and Chang-Jiun Wu and Simon Kasif},
  journal={Nature Biotechnology},
  year={2006},
  volume={24},
  pages={1474-1475}
}
VOLUME 24 NUMBER 12 DECEMBER 2006 NATURE BIOTECHNOLOGY We suggest that state policy makers begin by eliminating those activities that are clearly best left to federal agencies—drug approval and drug safety, for example, or situations in which national health and security are at stake, such as pandemic preparedness. Next, it’s important to recognize that federal/ state partnerships make considerable sense in a wide range of areas, including workforce development and research infrastructure… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 44 extracted citations

Gene Function Prediction With Gene Interaction Networks: A Context Graph Kernel Approach

IEEE Transactions on Information Technology in Biomedicine • 2010
View 5 Excerpts
Highly Influenced

Improving feature representation of natural language gene functional annotations using automatic term expansion

2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology • 2008
View 3 Excerpts
Highly Influenced

Protein function prediction from interaction networks using a random walk ranking algorithm

2007 IEEE 7th International Symposium on BioInformatics and BioEngineering • 2007
View 5 Excerpts
Highly Influenced

References

Publications referenced by this paper.

An Experimental Approach to Genome Annotation

R. J. Roberts, S. Kasif, S. Linn, M. R. Buckley
PLoS Biol . • 2004

Similar Papers

Loading similar papers…