Back to the program

Topic-Contributed Paper Session

STOCHASTIC PROCESSES DESCRIBING CANCER-RELATED BIOLOGICAL SYSTEMS: MODELING AND INFERENCE

Wed, Aug 5, 8:30 AM - 10:20 AM Room CC-204B Thomas M. Menino Convention & Exhibition Center

Marek KimmelOrganizerMarek KimmelChair

Section on Statistics in Genomics and Genetics co: Biopharmaceutical Sectionco: Biometrics Section Applied

5 Presentations

BESTish: A Diffusion-Approximation Framework for Inferring Selection and Mutation in Clonal Hematopoiesis

8:35 AM - 8:55 AM

Diffusion approximation Bayesian inference Branching process Clonal hematopoiesis Gauss-Markov process

Dynamics of First Moments for an Infinite-Type Branching Process Model with Random Reproductive Rates

8:55 AM - 9:15 AM

Nathaniel Kroeger (Rice University)

Extracting chromosomal selection parameters and predicting clonal dynamics from single-cell DNA data

9:15 AM - 9:35 AM

Khanh Dinh (Irving Institute for Cancer Dynamics, Columbia University)

Computational oncology Bayesian inference Random forests Stochastic simulation DNA-sequencing Chromosomal instability

Reliable Inference of Tumor Expansion Rate and Clonality from DNA-Sequencing Data

9:35 AM - 9:55 AM

Yanjie Chen (Irving Institute for Cancer Dynamics)

Clustering algorithm DNA-sequencing Tumor heterogeneity Bayesian inference Population genetics Site Frequency Spectrum

Stochastic Modeling of Lymphocyte Kinetics Reveals Mechanistic Biomarkers post Cancer Chemoradiation

9:55 AM - 10:15 AM

Stochastic modeling Longitudinal data Radiation therapy Survival analysis Immune kinetics

↑