Portraying the Expression Landscapes of B-CellLymphoma-Intuitive Detection of Outlier Samples and of Molecular Subtypes

We present an analytic framework based on Self-Organizing Map (SOM) machine learning to study large scale patient data sets.The potency of the approach is demonstrated in a case study using gene expression data of more than 200 mature aggressive B-cell lymphoma footjoy weste herren patients.The method portrays each sample with individual resolution

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A study of the development of the digital ranch

A lack of research investigating the role of information and information needs currently hampers improvement in information services to rural industries.This paper provides preliminary findings from the first phase of a project investigating the role of information, including the use of networked information services by the cattle ranching communit

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