NetRaVE: constructing dependency networks using sparse linear regression

A. Phatak, H. Kiiveri, Line Katrine Harder Clemmensen, W.J. Wilson

    Research output: Contribution to journalJournal articleResearchpeer-review


    NetRaVE is a small suite of R functions for generating dependency networks using sparse regression methods. Such networks provide an alternative to interpreting 'top n lists' of genes arising out of an analysis of microarray data, and they provide a means of organizing and visualizing the resulting information in a manner that may suggest relationships between genes.
    Original languageEnglish
    Issue number12
    Pages (from-to)1576-1577
    Publication statusPublished - 2010

    Fingerprint Dive into the research topics of 'NetRaVE: constructing dependency networks using sparse linear regression'. Together they form a unique fingerprint.

    Cite this