Applications
Regulome Explorer
This web-based tool provides for the exploration of data from TCGA. It can be used to explore the following:
- The cancer comparison data sets which give information about common gene disruptions across different cancers.
- Associations among multiple types of features (e.g., gene expression, methylation, copy number variation, clinical), computed using random forest regression and displayed within an interactive Circvis tool.
- Individual genome aberrations identified through the analysis of structural variations using FastBreak. Read more about Regulome Explorer in its open source project.
Colorectal Cancer Aggressiveness Explorer
The CRC Aggressiveness Explorer allows the exploration of molecular signatures associated with aggressive CRC. A red data point implies that
the signature is more prevalent in tumors with aggressive colorectal cancer, while a blue data point indicates the opposite. A color gradient
is used for the strength of association.
Web Applications
Data Analysis
Fastbreak
This application has been designed to quickly screen for structural variation. We have now expanded Fastbreak to begin looking for
patterns of structural variation across cancer types. A paper covering the Fastbreak algorithm is submitted for publication.
Read more about Fastbreak in its open source project.
Read more about Fastbreak in its open source project.
RF-ACE
This program is an efficient C++ implementation of a robust machine learning algorithm for uncovering multivariate associations from
large and diverse data sets. RF-ACE natively handles numerical and categorical data with missing values, and potentially large
quantities of noninformative features.
Read more about RF-ACE in its open source project.
Read more about RF-ACE in its open source project.