SDS Seminar Series – Sarah Coleman, University of Texas at Austin
Sep
5
2025
Sep
5
2025
Description
The Fall 2025 SDS Seminar Series kicks off on September 5th from 2:00 p.m. to 3:00 p.m. with Dr. Sarah Coleman (Postdoctoral Fellow, Department of Statistics and Data Sciences, University of Texas at Austin). This event is in-person in POB 6.304.
Title: A Linear Mixed Effects Model for Evaluating Synthetic Gene Circuits
Abstract: A significant advancement in synthetic biology is the development of synthetic gene circuits with predictive Boolean logic. However, there is no universally accepted statistical method to analyze the performance of these circuits. Basic tests fail to capture the predicted logic (OR, AND, etc.) and most studies neglect statistical analysis entirely. As synthetic gene circuits shift toward advanced applications, primarily in computing, biosensing, and human health, it is critical to standardize the statistical methods used to evaluate gate success. Here, we propose the application of a linear mixed effects model to analyze and quantify genetic Boolean logic gate performance. First, we analyze 144 published gates to identify “typical” behavior. Next, we propose a linear mixed effects model for gate evaluation, where the fixed effect describes the switch between the OFF and ON state and the random effect is the input group identity. We evaluate this model framework for "typical” gates and suggest best practices for researchers. Finally, we experimentally validate this model framework using a series of nested repressor OR gates with intentionally degraded performance.
Other Events in This Series
Mar
1
2024
SDS Seminar Series – Dr. Laura Hatfield
Predict, Correct, Select: A New General Identification Strategy for Controlled Pre-Post Designs
2:00 pm – 3:00 pm • Virtual
Speaker(s): Laura Hatfield
Mar
22
2024
SDS Seminar Series – Dr. Sivaraman Balakrishnan
Statistical Inference for Optimal Transport
2:00 pm – 3:00 pm • In Person
Speaker(s): Sivaraman Balakrishnan
Mar
29
2024
SDS Seminar Series – Dr. Purna Sarkar
Some New Results for Streaming Principal Component Analysis
2:00 pm – 3:00 pm • In Person
Speaker(s): Purna Sarkar
Apr
12
2024
SDS Seminar Series – Dr. Daniela Witten
Data Thinning and Its Applications
2:00 pm – 3:00 pm • In Person
Apr
19
2024
SDS Seminar Series – Dr. William Rosenberger
Design and Inference for Enrichment Trials with a Continuous Biomarker
2:00 pm – 3:00 pm • In Person
Speaker(s): William Rosenberger
Apr
26
2024
SDS Seminar Series – Dr. Bodhisattva Sen
Extending the Scope of Nonparametric Empirical Bayes
2:00 pm – 3:00 pm • In Person
Speaker(s): Bodhisattva Sen
Sep
6
2024
SDS Seminar Series – Christine Peterson, University of Texas MD Anderson Cancer Center
New Methods for Microbiome Data Integration
2:00 pm – 3:00 pm • In Person
Speaker(s): Christine Peterson
Sep
13
2024
SDS Seminar Series – Matthew Vanaman, University of Texas at Austin
Data Analysis from the Zoo to the Wild and Back
2:00 pm – 3:00 pm • In Person
Speaker(s): Matthew Vanaman
Sep
20
2024
SDS Seminar Series – Saptarshi Roy, University of Texas at Austin
On the Computational Complexity of Private High-dimensional Model Selection
2:00 pm – 3:00 pm • In Person
Speaker(s): Saptarshi Roy
Sep
27
2024
SDS Seminar Series – Abhra Sarkar, University of Texas at Austin
(Bayesian) Semiparametric Local Inference (and Other Stories)
2:00 pm – 3:00 pm • In Person
Speaker(s): Abhra Sarkar
