A Bayesian nonparametric method for prediction in EST analysis

@article{Lijoi2007ABN,
  title={A Bayesian nonparametric method for prediction in EST analysis},
  author={Antonio Lijoi and Rams{\'e}s H. Mena and Igor Pr{\"u}nster},
  journal={BMC Bioinformatics},
  year={2007},
  volume={8},
  pages={339 - 339}
}
Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several statistical prediction problems arise. In particular, it is of interest to estimate how many new genes can be detected in a future EST sample of given size and also to determine the gene discovery rate: these estimates represent the basis for deciding whether to proceed sequencing the library and, in case of a positive decision, a… CONTINUE READING
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