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Solutions Use Cases for the Brilliant Enterprise

Combining Gene Sequencing And Expression Data In Cancer Research

Goal

Identify biomarkers for cancer and patient subtypes.

Data

Somatic mutation, gene expression, and clinical data from 507 breast cancer patients

Result

Found patterns of expression and point mutations that identify specific subgroups. Patients that have low levels of estrogen were enriched for TP53 mutations, and cell cycle regulatory pathways (from the Gene Ontology Process Database) from were dramatically upregulated.

Impact

The ability to stratify patients from complex genetic data, identify biomarkers and classify pathway effects 20 times faster than custom scripts.

Mapping Genomic Variants That Correspond To Disease Subtypes

Goal

Identify genomic variants that correspond to diseases.

Data

500,000+ genomic variants from 2,000 people with diseases from type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease.

Result

Discovery of genetic variants corresponding to multiple diseases, and discovery of cis and trans regulators across disease types.

Impact

The ability to discern disease biomarkers across 7 diseases, from over 2,000 samples in a single analysis.

Creating A Global Understanding Of Genetic Differences In 14 World Populations

Goal

Identify health-related genomic variants from a 1,092 human sample from 14 different ethnicities

Data

1,092 individuals based on 250,000 genetic variants

Result

Identified a single mutation enriched in in the Japanese population that is linked to increased likelihood of gastric cancer.

Impact

Characterization of genomic variants that distinguish ethnicities, the ability to find biomarkers from public data sources.

Finding New Survivors From A Well Studied Breast Cancer Data Set

Goal

Identify new patient subtypes from a well-studied dataset

Data

272 Breast cancer tumors characterized by gene 1500 expression variables

Result

From a 13 year old dataset, Ayasdi discovered new patient survival group in minutes.

Impact

Results were in the Proceedings of the National Academy of Sciences and are currently informing new protocols in the health community.

Building A Data Driven Strategy To Win An NBA Championship

Goal

Use in game performance statistics to create winning strategies and matchups for the Miami Heat.

Data

NBA players related to each other by in-game performance statistics and player position data

Result

Decided match-up and key substitutions for a winning NBA playoff team

Impact

Optimized team builds, directed future talent acquisition, and winning in-game matchups

Structuring Precise Marketing Strategies From Mobile Log Files

Goal

Classify customers to identify target markets to create precise advertising campaigns and develop product features that will increase revenues.

Data

Mobile application usage and geolocation logs from 1 million users, and over 200 apps

Result

Segmentation of mobile users by purchase patterns, location, and time spent using application.

Impact

Initiating targeted ad campaigns that are predicted to increase advertising pipeline by 15%

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