Abstract: Provided herein are methods of generating a trained classifier at least partially using a computer. The methods include training a Restricted Boltzmann Machine (RBM) using at least a first training dataset that comprises sequence information corresponding to a population of aptamers, and/or one or more descriptors thereof, which aptamers comprise a minimum threshold binding affinity to a target biomolecule to produce a trained RBM model. Additional methods as well as related systems and computer readable media are also provided.

Abstract: The present invention relates to a composition comprising an isolated, single stranded RNA molecule having a nucleotide sequence comprising 20 or more bases and a pattern of CpG dinucleotides defined by a strength of statistical bias greater than or equal to zero, and a pharmaceutically acceptable carrier suitable for injection. The present invention also relates to a kit comprising a cancer vaccine and the composition of the present invention as an adjuvant to the cancer vaccine. The present invention further relates to a method of treating a subject for a tumor and a method of stimulating an immune response.

Abstract: The present invention relates to a composition comprising an isolated, single stranded RNA molecule having a nucleotide sequence comprising 20 or more bases and a pattern of CpG dinucleotides defined by a strength of statistical bias greater than or equal to zero, and a pharmaceutically acceptable carrier suitable for injection. The present invention also relates to a kit comprising a cancer vaccine and the composition of the present invention as an adjuvant to the cancer vaccine. The present invention further relates to a method of treating a subject for a tumor and a method of stimulating an immune response.