Post date: Sep 26, 2014 8:25:25 PM
SLAM Lecture
Presented by
Professor C.F. Jeff Wu, Georgia Institute of Technology
``Hidden Markov Models with Applications in Cell Adhesion Experiments’’
9/26/2014 Friday 12:00-1:15pm, Room W3008
Cell adhesion experiments refer to biomechanical experiments that study protein, DNA, and RNA at the level of single molecules. The study of cell adhesion plays a key role in many physiological and pathological processes, especially in tumor metastasis in cancer research. Motivated by the analysis of a specific type of cell adhesion experiments, a new framework based on hidden Markov model is proposed. A double penalized order selection procedure is introduced and shown to be consistent in estimating the number of hidden states in hidden Markov models. Simulations show that the proposed framework outperforms existing methods. Applications of the proposed methodology to real data demonstrate the accuracy of estimating receptor-ligand bond lifetimes and waiting times, which are essential in kinetic parameter estimation. (based on joint work with Ying Hung, Yijie Wang, Cheng Zhu and his lab members)
Lunch Forum with Professor C.F. Jeff Wu
Discussion Topic: ``Experimental Design and Big Data’’
9/26/2014 Friday 1:30-2:45pm, Geno Café (E3607)
Free lunch provided for 40 participants
In biomedical studies and internet industries, big data provides unique opportunities to simultaneously answer many questions, ranging from the discovery of genetic signature to predictions of the next links that internet users will most likely click. In contrast, experimental designs usually guide the data collection to target only a few parameters of particular interest. In this lunch conversation, we will discuss the current role of experimental design in big data research with Prof. Jeff Wu, a leading figure in experimental design and industrial statistics.