GAIT

GAIT analyzes associations between gene expression and interval times between two events using multivariate survival methods that accommodate multiple censored events.

Key Features:

• Multivariate survival analysis: Leverages recent advancements in multivariate survival analysis to accommodate multiple censored events simultaneously.
• Interval-time gene expression analysis: Examines gene expression in relation to the timing between two biological or clinical events.
• Validation: Methods have been validated through simulation studies and analyses of real-world gene expression datasets.

Scientific Applications:

• Interval association studies: Investigates how gene expression levels correlate with the timing between two events such as disease onset and recurrence or diagnosis and subsequent intervention.
• Genetic marker identification: Supports identification of potential genetic markers associated with time-dependent outcomes and prognosis.
• Disease progression and treatment response: Applies to studies of disease progression, treatment response, and other time-dependent biological processes.

Methodology:

Implements multivariate survival analysis methods that accommodate multiple censored events and has been evaluated using simulation studies and analyses of real-world gene expression datasets.