Contact
- pflaherty@umass.edu
- 710 N. Pleasant St, Amherst, MA 01002
We gratefully acknowledge financial support from our sponsors:
Foundations of Data Science for Molecular Biology and Genetics
Our lab develops novel statistical methodology for genomic data to understand fundamental biological mechanisms and improve the treatment of complex human diseases.
Our long-term goal is to enhance the utility of genomic data for basic science and clinical decision-making to improve human health.
We adapt and improve methods from statistics, computer science, and genetics.
July 16, 2021
Our paper on methods for analysis of transposon sequencing data is now available on bioRxiv.
May 13, 2021
Paper on exact hierarchical clustering appears in UAI2021.
May 13, 2021
Paper on representation learning for bounded data appears in UAI2021.
Methods for predicting risk of multiple infections in trauma patients.
Maximum a-posteriori clustering involving constraints, stability, optimality, and computability.
We gratefully acknowledge financial support from our sponsors: