Binary matrix factorization for analyzing gene expression data

@article{Zhang2009BinaryMF,
  title={Binary matrix factorization for analyzing gene expression data},
  author={Zhongyuan Zhang and Tao Li and Chris H. Q. Ding and Xian-Wen Ren and Xiang-Sun Zhang},
  journal={Data Mining and Knowledge Discovery},
  year={2009},
  volume={20},
  pages={28-52}
}
The advent of microarray technology enables us to monitor an entire genome in a single chip using a systematic approach. Clustering, as a widely used data mining approach, has been used to discover phenotypes from the raw expression data. However traditional clustering algorithms have limitations since they can not identify the substructures of samples and… CONTINUE READING

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