The combination approach of SVM and ECOC for powerful identification and classification of transcription factor

@article{Zheng2008TheCA,
  title={The combination approach of SVM and ECOC for powerful identification and classification of transcription factor},
  author={Guangyong Zheng and Ziliang Qian and Qiang Yang and Chaochun Wei and Lu Xie and Yangyong Zhu and Yixue Li},
  journal={BMC Bioinformatics},
  year={2008},
  volume={9},
  pages={282 - 282}
}
BackgroundTranscription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network construction. Traditionally, they were identified and classified through experimental approaches. In order to save time and reduce costs, many computational methods have been developed to identify TFs from new proteins and to classify the resulted TFs. Though these methods have facilitated screening of TFs to some extent… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 35 REFERENCES

New developments in the InterPro database

  • Nucleic Acids Research
  • 2007
VIEW 1 EXCERPT