Abstract: Disclosed herein, are systems and methods for analyzing complex data signals using artificial intelligence and/or deconvolution algorithms to determine output pertaining to the state or status of one or more parameters. Data sets may include signals from various sources that can confound or distort the signals of interest. Accordingly, disclosed herein are deconvolution algorithms that enable the determination of the status of sources that correspond to the signals of interest.

Abstract: Disclosed herein, are systems and methods for analyzing complex data signals using artificial intelligence and/or deconvolution algorithms to determine output pertaining to the state or status of one or more parameters. Data sets may include signals from various sources that can confound or distort the signals of interest. Accordingly, disclosed herein are deconvolution algorithms that enable the determination of the status of sources that correspond to the signals of interest.

Abstract: Provided herein are systems and methods for generating an immune-oncology profile from a biological sample. The immune-oncology profile can include the proportion or percentage of immune cells, expression of immune escape genes, and/or mutational burden. The immune-oncology profile may allow the generation of classifiers for making prognostic or diagnostic predictions.

Abstract: Provided herein are methods of amplifying nucleic acids. In particular, methods are provided for amplifying circular RNA molecules. In certain embodiments, circular DNA molecules for amplification are generated from circular RNA molecules.

Abstract: Provided herein are systems and methods for generating an immune-oncology profile from a biological sample. The immune-oncology profile can include the proportion or percentage of immune cells, expression of immune escape genes, and/or mutational burden. The immune-oncology profile may allow the generation of classifiers for making prognostic or diagnostic predictions.

Abstract: Provided herein are systems and methods for generating an immune-oncology profile from a biological sample. The immune-oncology profile can include the proportion or percentage of immune cells, expression of immune escape genes, and/or mutational burden. The immune-oncology profile may allow the generation of classifiers for making prognostic or diagnostic predictions.

Abstract: Provided herein are methods of amplifying nucleic acids. In particular, methods are provided for amplifying circular RNA molecules. In certain embodiments, circular DNA molecules for amplification are generated from circular RNA molecules.

Abstract: Provided herein are methods of amplifying nucleic acids. In particular, methods are provided for amplifying circular RNA molecules. In certain embodiments, circular DNA molecules for amplification are generated from circular RNA molecules. Provided herein are methods for amplifying a nucleic acid. In certain embodiments, a method comprises priming a circular RNA template molecule with one or more DNA primers and extending the primers with a reverse transcriptase to generate a cDNA strand that is a copy of the circular RNA molecule. In certain embodiments, the cDNA strand generated is linear.