Biomarker and Classifier Selection in Diverse Genetic Datasets
نویسندگان
چکیده
Biomarker panels are increasingly important clinical tools for the classification of diseased tissue samples and have been more recently been used for characterizing differentiating stem cell cultures. In order to facilitate high sample throughput biomarker panels are limited to a finite number of hand-picked genes deemed to be of significance by the researcher. However, without statistical support that the most informative biomarkers have been selected, biomarker panels can be subject to extensive sampling bias that can result in misclassification and wasted resources. Moreover, the accurate mapping of marker profiles to discrete classes is not always straightforward. Here we present a pipeline for the rational design and interpretation of biomarker panels from underlying biological databases.
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