Expression profiles of the mouse lung identify a molecular signature of time-to-birth.

@article{Kho2009ExpressionPO,
  title={Expression profiles of the mouse lung identify a molecular signature of time-to-birth.},
  author={Alvin T. Kho and Soumyaroop Bhattacharya and Brigham H. Mecham and Jungha Hong and Isaac S. Kohane and Thomas J. Mariani},
  journal={American journal of respiratory cell and molecular biology},
  year={2009},
  volume={40 1},
  pages={47-57}
}
A greater understanding of the regulatory processes contributing to lung development could help ameliorate morbidity and mortality in premature infants and identify individuals at risk for congenital and/or chronic lung diseases. Genomics technologies have provided rich gene expression datasets for the developing lung that enable systems biology approaches for identifying large-scale molecular signatures within this complex phenomenon. Here, we applied unsupervised principal component analysis… CONTINUE READING

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