Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Described herein are methods and systems for identifying subpopulations of patients having Crohn's disease, including populations at risk of developing structuring or other severe disease, and populations susceptible to success or failure with surgical intervention. Further provided are therapies useful for treating subpopulations of patients having Crohn's disease.

Disclosed herein, in certain instances, are methods, systems and kits for the diagnosis, prognosis and determination of cancer progression of a cancer in a subject. Further disclosed herein, in certain instances, are methods, systems and kits for determining the treatment modality of a cancer in a subject. The methods, systems and kits comprise expression-based analysis of biomarkers. Further disclosed herein, in certain instances, are probe sets for use in assessing a cancer status in a subject. Further disclosed herein are classifiers for analyzing a cancer.

Disclosed herein, in certain instances, are methods, systems and kits for the diagnosis, prognosis and determination of cancer progression of a cancer in a subject. Further disclosed herein, in certain instances, are methods, systems and kits for determining the treatment modality of a cancer in a subject. The methods, systems and kits comprise expression-based analysis of biomarkers. Further disclosed herein, in certain instances, are probe sets for use in assessing a cancer status in a subject. Further disclosed herein are classifiers for analyzing a cancer.

The disclosure relates to methods of signatures which can be used in order to classify patients and predict responsiveness to therapy. In particular, the disclosure relates to RAINFOREST (tReAtment benefit prediction using raNdom FOREST), a new method to discover signatures capable of identifying a subgroup of patients more likely to benefit from a specific treatment as compared to another treatment.

The disclosure relates to methods of signatures which can be used in order to classify patients and predict responsiveness to therapy. In particular, the disclosure relates to RAINFOREST (tReAtment benefit prediction using raNdom FOREST), a new method to discover signatures capable of identifying a subgroup of patients more likely to benefit from a specific treatment as compared to another treatment.

Provided is a method for providing, on the basis of genetic marker matching of heterologous organisms, a genetic testing service by using genetic markers of a model organism as genetic markers of a target organism, the method comprising the steps of: selecting at least one genetic marker of a pre-stored model organism; comparing genomic information of the model organism to genomic information of a target organism to be subjected to a genetic testing service, when the selected at least one genetic marker is a previously known genetic marker through pre-analyzed information; and providing a genetic mutation-based genetic report about a target organism on the basis of the results of comparing genomic information of target and model organisms.

The invention relates to a method for determining whether a subject with an infection has a viral infection. The invention further relates to method for determining the cellular immune response to a viral infection or a vaccine. The methods may be performed on a blood sample obtained from a subject, and is based on the finding that specific cellular signaling pathways are active. The invention further relates to components for performing the methods and use of those components in a method of diagnosis.

The invention relates to a method for determining whether a subject with an infection has a viral infection. The invention further relates to method for determining the cellular immune response to a viral infection or a vaccine. The methods may be performed on a blood sample obtained from a subject, and is based on the finding that specific cellular signaling pathways are active. The invention further relates to components for performing the methods and use of those components in a method of diagnosis.