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Network-based Approaches toward Precise Disease Classification, Prognosis and Treatment

Md Jamiul Jahid, University of Texas at San Antonio

  • Computer Science Seminar
  • Colloquium
When Mon, Mar 09, 2015
from 04:00 PM to 04:50 PM
Where Ritter Hall 119
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Abstract: Recently, high-throughput profiling techniques such as microarray and next generation sequencing have revolutionized modern biology and enabled disease understanding at a genome scale. Due to the large volume of data from these technologies, enormous amount of scientific efforts are needed for identifying key biological insights. To achieve this goal, it is urgent to develop novel computational methodologies and tools that integrate different types of data for augmenting system level understanding of disease and improving personalize treatment to the next level.

From the aforementioned perspective, I will address several critical challenges of computational biology and bioinformatics. First, I will talk about a computational approach to predict the metastatic status of cancer patients based on their gene expression profiles. The key idea of the method is to construct personalized models that address the heterogeneity of disease, which is normally overlooked by existing methods. Next, I will talk about applications of my method in different other domains, including drug side-effect prediction and spam email classification. In both cases, our method outperformed other state of the art approaches significantly. Furthermore, I will talk briefly about graph theoretical approaches that combine microarray gene expression profiles and protein-protein interaction (PPI) network for biomarker discovery for different cancers. Finally, I will briefly cover various interesting collaborative works that I have done with other interdisciplinary groups. 

Reception to precede at 3:30 p.m.
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