Probabilistic Latent Tensor Factorization for 3-way Microarray Data Analysis with Missing Values

@inproceedings{Simsekli2012ProbabilisticLT,
  title={Probabilistic Latent Tensor Factorization for 3-way Microarray Data Analysis with Missing Values},
  author={Umut Simsekli and Yunus Emre Kara and Arzucan {\"O}zg{\"u}r and Ali Taylan Cemgil},
  year={2012}
}
The recent advances in microarray technology enabled the measurement of gene expression levels of samples over a series of time points. Unlike the traditional 2D microarray data, such experiments generate 3D (gene-sample-time) microarray data, which require specialized methods for analysis. In this study, we propose a novel tensor factorization model for modeling 3D microarray data. The model assumes the existence of certain temporal patterns that are repeated over time. One main advantage of… CONTINUE READING

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