CancerInSilico

CancerInSilico simulates tumor progression using mathematical models implemented in C++ with an R interface for generating outputs and analyzing high-throughput genomic data.

Key Features:

• Mathematical Modeling: Enables simulation of complex tumor progression and tumor dynamics using mathematical frameworks.
• C++ Implementation: Implements core models in C++ to provide computational performance for large-scale genomics simulations.
• R Interface: Exposes model outputs to R for output generation and analysis of high-throughput genomic data using R libraries.

Scientific Applications:

• Oncology Research: Supports investigation of cancer development and progression through in silico simulations.
• Hypothesis Testing: Enables testing of mechanistic hypotheses about tumor biology and dynamics.
• Therapeutic Strategy Development: Facilitates exploration of interventions and the development of new therapeutic strategies via simulated scenarios.

Methodology:

Mathematical models are implemented in C++ and coupled with R-based analysis to simulate tumor biology and analyze high-throughput genomic data.