We present a novel framework for developing a risk model for class prediction from high-dimensional gene expression data; we define a new model that relies on several already known classification methods. We make use of the model for a survival analysis of tumor and immune subtype from Diffuse Large B-cell Lymphoma patients. Experimental analyses show good level of accuracy in the detection of Cell-of-Origin of diseases.
CITATION STYLE
Bruno, P., Calimeri, F., & Marzullo, A. (2019). Classification and survival prediction in diffuse large B-cell lymphoma by gene expression profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11331 LNCS, pp. 166–178). Springer Verlag. https://doi.org/10.1007/978-3-030-13709-0_14
Mendeley helps you to discover research relevant for your work.