Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data

@inproceedings{Wu2018IdentifyingCG,
  title={Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data},
  author={Shasha Wu and Mi-Xiao Hou and Jin-Xing Liu and Juan Wang and Shasha Yuan},
  booktitle={ICIC},
  year={2018}
}
In bioinformatics, feature selection is a good method for dimensionality reduction and has been widely used. However, the model of traditional feature selection method: Joint Embedding Learning and Sparse Regression (JELSR), whose the error term is in the form of a square term, which leads to the algorithm becoming extremely sensitive to noise and outliers and degrading the performance of the algorithm. Considering the above problem, we propose a new robust feature selection model by adding an… CONTINUE READING

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