Ciriyam Jayaprakash

The paper develops a stochastic model to predict T cell clone size distributions in brain tumors and finds faster proliferation in metastases and stronger responses to shared neoantigens.

The paper shows that spatial statistics of submicron NKR clusters in resting NK cells affect early signal discrimination between healthy and diseased targets.

The paper introduces an entropy-based method for model selection using time-stamped snapshot data, demonstrating its ability to identify the correct mechanistic model from simulated data.

The paper examines spatial fencing patterns of tumor cells by immune and non-immune cells in solid cancers and links these patterns to cancer progression and treatment response.

The paper develops a spatially resolved model to show how immune cell organization and dynamics influence response to immune checkpoint inhibitors in melanoma patients.

BioNetGMMFit estimates parameters of BioNetGen models from time-stamped single-cell data and provides confidence intervals for improved accuracy.

The paper improves parameter estimation in biochemical models using GMM and PSO on single-cell data, showing better results than traditional methods.