Semilinear High-Dimensional Model for Normalization of Microarray Data : A Theoretical Analysis and Partial Consistency

@inproceedings{Fan2005SemilinearHM,
  title={Semilinear High-Dimensional Model for Normalization of Microarray Data : A Theoretical Analysis and Partial Consistency},
  author={Jianqing Fan and Heng Peng and Tao Huang},
  year={2005}
}
Normalization of microarray data is essential for removing experimental biases and revealing meaningful biological results. Motivated by a problem of normalizing microarray data, a semilinear in-slide model (SLIM) has been proposed. To aggregate information from other arrays, SLIM is generalized to account for across-array information, resulting in an even more dynamic semiparametric regression model. This model can be used to normalize microarray data even when there is no replication within… CONTINUE READING
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