RESOLVE

RESOLVE implements a novel regularization-based framework that enables efficient extraction, exposure estimation, and confidence assessment of mutational signatures from cancer genomes.

Key Features:

• Mutational signature extraction: RESOLVE performs efficient extraction of mutational signatures through a novel algorithm.
• Exposure estimation: RESOLVE estimates the activity levels (exposures) of identified mutational signatures in tumor samples.
• Confidence assessment: RESOLVE provides confidence assessment during the computational inference of mutational signatures.
• Regularization-based inference: RESOLVE employs regularization methods to achieve robust estimation of mutational signatures.

Scientific Applications:

• Mutational signature analysis: RESOLVE identifies active environmental and endogenous mutagenic processes in tumors through characteristic mutational patterns.
• Therapeutic response marker discovery: RESOLVE supports the identification of mutational signatures that may highlight markers for therapeutic response.
• Computational artifact detection: RESOLVE addresses the challenge of distinguishing true mutagenic signatures from potential computational artifacts lacking clear etiology.

Methodology:

RESOLVE implements a novel algorithm based on regularization (Robust EStimation Of mutationaL signatures Via rEgularization) for the computational inference of mutational signatures, including extraction, exposure estimation, and confidence assessment.