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Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression.

Xiaoke Ma, Wanxin Tang, Peizhuo Wang

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |November 16, 2016
    PubMed
    Summary

    We developed a new algorithm, Nonnegative Matrix Factorization for Dynamic Modules (NMF-DM), to analyze cancer genomic data over time. This method accurately identifies key biological pathways that change during cancer progression, improving our understanding of disease dynamics.

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