Illustrative visualization of medical data sets

Magdeburg, Univ., Fak. für Informatik, Diss., 2014

Illustrative visualization of medical data sets

Magdeburg, Univ., Fak. für Informatik, Diss., 2014

Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States

Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.

Mapping of the healthy immunoglobulin repertoire over the course of B cell maturation by deep pyrosequencing

Healthy immunoglobulin repertoire has not been extensively evaluated reflecting in part the challenge of generating sufficiently robust data sets by conventional clonal sequencing. Deep sequencing has revolutionized the capacity to evaluate the depth and breadth of the Ig repertoire along the B cell developmental pathway, and can be used to pin point defect(s) of primary or acquired B-cell associated diseases. In this study healthy IgM and IgG repertoires were studied by 454-pyrosequencing to establish the healthy controls for diseased repertoires. (...)