Research Article Open Access

@inproceedings{TaguchiResearchAO,
  title={Research Article Open Access},
  author={Y Taguchi and Mitsuo Iwadate and Hideaki Umeyama}
}
Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease Abstract Background: Feature extraction (FE) is difficult, particularly if there are more features than samples, as small sample numbers often result in biased outcomes or overfitting. Furthermore, multiple sample classes often complicate FE because evaluating performance, which is usual in supervised FE, is generally harder than the two… CONTINUE READING
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