Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data.

ABSTRACT: After its introduction in 1982, the Hopfield model has been extensively applied for classification and pattern recognition. Recently, its great potential in gene expression patterns retrieval has also been shown. Following this line, we develop Hope4Genes a single-sample class prediction algorithm based on a Hopfield-like model. Differently from previous works, we here tested the performances of the algorithm for class prediction, a task of fundamental importance for precision medicine and therapeutic decision-making. Hope4Genes proved better performances than the state-of-art methodologies in the field independently of the size of the input dataset, its profiling platform, the number of classes and the typical class-imbalance present in biological data. Our results provide encoraging evid

SUBMITTER: Cantini L 

PROVIDER: S-EPMC6344502 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature