The news correspondents obtained a quote from the research, "However, the analysis of such complex data requires the implementation of sophisticated bioinformatic and statistical procedures. It is critical that oncology practitioners be aware of the advantages and limitations of the methods used to generate classifiers to usher them into the clinic. This article uses publicly available expression data from patients with non-small cell lung cancer to first illustrate the challenges of experimental design and preprocessing of data before clinical application and highlights the challenges of high-dimensional statistical analysis."
According to the news reporters, the research concluded: "It provides a roadmap for the translation of such classifiers to clinical practice and makes key recommendations for good practice."
For more information on this research see: Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.
Our news journalists report that additional information may be obtained by contacting
Publisher contact information for the journal
Keywords for this news article include: Biotechnology,
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC
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