Detail Multi-Way Clustering of Microarray Data Using Probabilistic Sparse Matrix Factorization (in Bioinformatics Vol. 21 Suppl. 1 2005) Bibliografi Author: Dueck, Delbert ; Morris, Quaid D. ; Frey, Brendan J. Topik: Microarray; Bioinformatics Bahasa: (EN )    Edisi: 2005     Penerbit: Oxford University Press     Tempat Terbit: London    Tahun Terbit: 2005     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: i144.pdf (1.9MB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract Motivation: We address the problem of multi-way clustering of microarray data using a generative model. Our algorithm, probabilistic sparse matrix factorization (PSMF), is a probabilistic extension of a previous hard-decision algorithm for this problem. PSMF allows for varying levels of sensor noise in the data, uncertainty in the hidden prototypes used to explain the data and uncertainty as to the prototypes selected to explain each data vector. Results: We present experimental results demonstrating that our method can better recover functionally-relevant clusterings in mRNA expression data than standard clustering techniques, including hierarchical agglomerative clustering, and we show that by computing probabilities instead of point estimates, our method avoids converging to poor solutions. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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