COBRA Preprint Series Year Paper Exploration of distributional models for a novel intensity-dependent normalization

@inproceedings{Lama2013COBRAPS,
  title={COBRA Preprint Series Year Paper Exploration of distributional models for a novel intensity-dependent normalization},
  author={Nicola Lama and Patrizia Boracchi and Elia Biganzoli},
  year={2013}
}
Currently used gene intensity-dependent normalization methods, based on regression smoothing techniques, usually approach the two problems of location bias detrending and data re-scaling without taking into account the censoring characteristic of certain gene expressions produced by experiment measurement constraints or by previous normalization steps. Moreover, the bias vs variance balance control of normalization procedures is not often discussed but left to the user’s experience. Here an… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 37 REFERENCES

Similar Papers

Loading similar papers…