A machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. indica

@article{Hemalatha2014AML,
  title={A machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. indica},
  author={N. Hemalatha and M. K. Rajesh and N. K. Narayanan},
  journal={2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology},
  year={2014},
  pages={1-6}
}
Plant development and crop yield are highly influenced by temperature. High temperature negatively affects different stages of plant development in rice, mainly booting and flowering. Identifying candidate genes associated with high-temperature stress response may provide knowledge for the improvement of heat tolerance in rice. As the rice genome sequencing… CONTINUE READING