Special Seminar on June 16th at 11:00 AM given by Lana Garmire, PhD, Assistant Professor, Cancer Epidemiology Program, University of Hawaii Cancer Center

Department of Biomedical Informatics
University of Pittsburgh
Special Seminar

 

You are invited to a Special Seminar on June 16th at 11:00 AM given by Lana Garmire, PhD, Assistant Professor, Cancer Epidemiology Program, University of Hawaii Cancer Center.
The seminar is titled “Biomarker research using machine-learning and deep-learning based multi-omics integration” and will be held at the Department of Biomedical Informatics (address below).

 

Abstract:

With the rapid applications of high throughput technologies such as next generation sequencing, it is particularly urgent to detecting biomarkers arising from different high-throughput platforms. In this talk, I will elaborate recent research effort in my group that aims to integrate the omics profiles for cancer diagnosis and prognosis prediction. We have constructed a versatile individual-oriented pathway-based modeling framework from multiple omics data types to predict patient prognosis and/or diagnosis. This approach performs better than those models built on the end-level measurables (genes, metabolites, SNPs etc) and they are relatively easy to transfer between data types and integrate among data types. More recently, we have employed deep-learning method for multi-omics based prognosis biomarker investigation, and demonstrated the robust predictive power in multiple liver cancer population cohorts.  Lastly, I will report our most recent work on heterogeneity detection among tumor single-cell RNA-Seq data, using Small Nucleotide Variation (SNVs) as the new, alternative molecular features.

 

LOCATION:

Department of Biomedical Informatics
5607 Baum Blvd., Fourth Floor, Conference Room 407 A/B
Pittsburgh, PA 15206
 

Questions:

Linda Mignogna
412-648-9254/Lkm16@pitt.edu
Date of Event: 
Friday, June 16, 2017 - 11:00
Post Date: 
Wednesday, May 31, 2017
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