RIDDLE

RIDDLE (Reflective Diffusion and Local Extension): Network-based gene set functional characterization

RIDDLE characterizes gene sets using network-based analysis within a human gene interaction network. It applies guilt-by-association principles combined with reflective diffusion and local extension to identify functional and disease-related associations, including for unannotated gene sets.

Key Features:

• Reflective Diffusion Algorithm: Propagates functional information through a human gene network to infer pathway and disease associations.
• Local Extension Strategy: Refines diffusion results by extending signals within local network neighborhoods to enhance gene set characterization.
• Unannotated Gene Set Analysis: Infers functional associations for gene sets lacking prior pathway or annotation data.

Scientific Applications:

• Gene Function and Disease Association Prediction: Identifies pathway and disease links for gene sets, including associations such as microRNA-450a with ocular diseases and development.

Methodology:

RIDDLE applies guilt-by-association principles in a human gene network by performing reflective diffusion to propagate functional signals, followed by local extension to refine network neighborhoods, enabling identification of pathway and disease associations for input gene sets.