A data-driven clustering method for time course gene expression data

@article{Ma2006ADC,
  title={A data-driven clustering method for time course gene expression data},
  author={Ping Ma and Cristian I. Castillo-Davis and Wenxuan Zhong and Jun S. Liu},
  journal={Nucleic Acids Research},
  year={2006},
  volume={34},
  pages={1261 - 1269}
}
Gene expression over time is, biologically, a continuous process and can thus be represented by a continuous function, i.e. a curve. Individual genes often share similar expression patterns (functional forms). However, the shape of each function, the number of such functions, and the genes that share similar functional forms are typically unknown. Here we introduce an approach that allows direct discovery of related patterns of gene expression and their underlying functions (curves) from data… CONTINUE READING

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