Provided herein are methods of identifying gene expression levels in specific cell types based on bulk gene expression levels measured in tissue samples comprising a plurality of cell types.

Provided herein are methods of identifying gene expression levels in specific cell types based on bulk gene expression levels measured in tissue samples comprising a plurality of cell types.

Provided are a method and system for screening neoantigen and uses of neoantigens. Specifically, provided are a method and system for screening neoantigens derived from a gene of which expression is essential for survival of a cancer cell and/or a is homogeneously expressed in all cells in cancer tissue as a diagnostic and/or therapeutic target, and uses of neoantigens.

Provided are a method and system for screening neoantigen and uses of neoantigens. Specifically, provided are a method and system for screening neoantigens derived from a gene of which expression is essential for survival of a cancer cell and/or a is homogeneously expressed in all cells in cancer tissue as a diagnostic and/or therapeutic target, and uses of neoantigens.

A method for predicting the cell spatial relation based on single-cell transcriptome sequencing data includes the steps of obtaining a probability matrix P of a cell-cell interaction strength matrix A based on single-cell transcriptome sequencing data; reconstructing, according to the obtained probability matrix P of the cell-cell interaction strength matrix A, a three-dimensional spatial structure in which cells interact with each other; and for each cell in the reconstructed three-dimensional spatial structure in which cells interact with each other, determining the intercellular distance threshold for each cell to interact with h cells on average to obtain an intercellular interaction network. The method requires only the single-cell transcriptome sequencing data to predict the interaction of the cells in three-dimensional space, which breaks the limitation of the existing technology that needs to obtain the spatial relationship of cells through imaging.

Embodiments of the invention describe to methods of diagnosing, classifying, and/or identifying a patient's risk of developing graft versus host disease, including severe or lethal graft versus host disease, after receiving hematopoietic cellular transplantation, a transfusion or a transplantation, but before the onset of clinical symptoms.

Embodiments of the invention describe to methods of diagnosing, classifying, and/or identifying a patient's risk of developing graft versus host disease, including severe or lethal graft versus host disease, after receiving hematopoietic cellular transplantation, a transfusion or a transplantation, but before the onset of clinical symptoms.

The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

The invention is directed to methods and metric suitable for use in modulating the expression of a polypeptide encoded by a nucleic acid sequence. In certain aspects, the invention also relates to methods for introducing modifications in a polypeptide, for example through substitution of one or more nucleic acids in an untranslated sequence or in a coding sequence of a nucleic acid sequence encoding a polypeptide to increase the expression of the polypeptide.

Provided are a method and device for assessing a feasibility of one or more biochemical reactions in an organism. The method includes receiving an input representing the organism and input representing one or more biochemical reactions that are to be assessed; computing a reaction feasibility score for each of the one or more input biochemical reactions a knowledgebase; and selecting the biochemical reaction that is likely to occur in the organism.