Matrix Factorization for Transcriptional Regulatory Network Inference.
Matrix Factorization for Transcriptional Regulatory Network Inference.
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DOI：
10.1109/cibcb.2012.6217256
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发表时间：
2012-05
期刊：
影响因子：
--
通讯作者：
Fertig EJ
中科院分区：
文献类型：
--
作者：
Ochs MF;Fertig EJ
Inference of Transcriptional Regulatory Networks (TRNs) provides insight into the mechanisms driving biological systems, especially mammalian development and disease. Many techniques have been developed for TRN estimation from indirect biochemical measurements. Although successful when initially tested in model organisms, these regulatory models often fail when applied to data from multicellular organisms where multiple regulation and gene reuse increase dramatically. Non-negative matrix factorization techniques were initially introduced to find non-orthogonal patterns in data, making them ideal techniques for inference in cases of multiple regulation. We review these techniques and their application to TRN analysis.
