• Corpus ID: 3168278

Using Rank-One Biclusters to Classify Microarray Data

@inproceedings{Asgarian2007UsingRB,
  title={Using Rank-One Biclusters to Classify Microarray Data},
  author={Nasimeh Asgarian and Russell Greiner},
  year={2007}
}
Motivation: A DNA-microarray measures the gene expression levels of tens of thousands of genes for a particular sample, corresponding to some specic experimental condition. [] Key Method We propose a novel algorithm for nding biclusters from the microarray data, based on the best rank-1 matrix approximation, then show how to use these biclusters to classify novel samples. We demonstrate that our method works effectively by comparing its prediction accuracy with that of other classiers , including one based…

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