MAY 12, 2016 10:30 AM PDT

Big data integration - Inferring and using individual patient network models

C.E. Credits: CEU
Speaker

Abstract

The biological state of the cell is characterized by a complex network of interacting genes, gene products, proteins, microRNAs, as well as other molecules. Microarrays and next generation sequencing technologies have been widely applied to study alterations of these molecules in complex diseases such as cancer. However, most of the standard, widely-used methods for bioinformatics analysis treat these various sources of information independently, looking for overlaps in feature sets rather than directly modeling their interactions.
It has become clear that, to understand what drives (complex) disease, we need to integrate multiple types of ‘omics data in a natural way that allows us to gain insight into the molecular interactions that occur in disease development and progression. Gene regulatory network reconstruction algorithms infer such interactions by drawing on large numbers of measured expression samples to estimate an “aggregate” network model, which represents single estimates for the likelihood of molecular interactions. While informative, aggregate models fail to capture the heterogeneity represented in a disease population. In this presentation, I will introduce a computational framework for single-sample network reconstruction that allows us to “extract” individual patient networks from aggregate networks. I will demonstrate the strengths of this method in multiple big 'omics datasets, and will highlight newly identified gene regulatory interactions that play a role in cancer survival.

Learning objectives:

  • Participants will learn how to integrate big 'omics data using gene regulatory networks
  • Participants will learn how to reconstruct and analyze patient-specific gene regulatory networks

Show Resources
You May Also Like
SEP 14, 2021 7:00 AM PDT
C.E. CREDITS
SEP 14, 2021 7:00 AM PDT
Date: September 14, 2021 Time: 7am PDT, 10am EDT, 4pm CEST A conventional thermal cycler has long been a commodity product in the lab and end-point PCR techniques can be completed almost wit...
MAY 11, 2021 10:00 AM PDT
C.E. CREDITS
MAY 11, 2021 10:00 AM PDT
Date: May 11, 2021 Time: 10:00zm PDT Your samples are some of the most valuable assets in the laboratory. After spending countless hours on extraction and preparation, your conclusions could...
MAR 16, 2021 10:00 AM PDT
C.E. CREDITS
MAR 16, 2021 10:00 AM PDT
Date: March 16, 2021 Time: 10:00am (PST) Scientific progress and breakthroughs today are often too expensive for most institutions to acquire. Each year, the National Institutes of Health (N...
JUN 09, 2021 7:00 AM PDT
C.E. CREDITS
JUN 09, 2021 7:00 AM PDT
Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
MAR 18, 2021 8:00 AM PDT
C.E. CREDITS
MAR 18, 2021 8:00 AM PDT
DATE: March 18, 2021 TIME: 8:00am PDT Sequencing of bulk cells, single cells, and nuclei is opening doors in the understanding of complex biological processes....
FEB 24, 2021 10:00 AM PST
C.E. CREDITS
FEB 24, 2021 10:00 AM PST
DATE: February 24, 2021 TIME: 10am PST Automated lab instruments such as liquid handlers and cell sorters are increasingly common in all types of laboratories, driving fast results for labor...
MAY 12, 2016 10:30 AM PDT

Big data integration - Inferring and using individual patient network models

C.E. Credits: CEU

Specialty

Research And Development

Gene Expression

Dna

Big Data

Cancer Research

Tumor

Biomarkers

Cancer

Earth Science

Oncology

University

Gene Sequencing

Drug Discovery

Mass Cytometry

Cell Culture

Geography

Asia50%

Europe50%

Registration Source

Website Visitors100%

Job Title

Student50%

Medical Laboratory Technician50%

Organization

Manufacturer - Other50%

Academic Institution50%


Show Resources
Loading Comments...
Show Resources