alexa Jointly analyzing gene expression and copy number data in breast cancer using data reduction models.
Genetics

Genetics

Advancements in Genetic Engineering

Author(s): Berger JA, Hautaniemi S, Mitra SK, Astola J

Abstract Share this page

Abstract With the growing surge of biological measurements, the problem of integrating and analyzing different types of genomic measurements has become an immediate challenge for elucidating events at the molecular level. In order to address the problem of integrating different data types, we present a framework that locates variation patterns in two biological inputs based on the generalized singular value decomposition (GSVD). In this work, we jointly examine gene expression and copy number data and iteratively project the data on different decomposition directions defined by the projection angle theta in the GSVD. With the proper choice of theta, we locate similar and dissimilar patterns of variation between both data types. We discuss the properties of our algorithm using simulated data and conduct a case study with biologically verified results. Ultimately, we demonstrate the efficacy of our method on two genome-wide breast cancer studies to identify genes with large variation in expression and copy number across numerous cell line and tumor samples. Our method identifies genes that are statistically significant in both input measurements. The proposed method is useful for a wide variety of joint copy number and expression-based studies. Supplementary information is available online, including software implementations and experimental data. This article was published in IEEE/ACM Trans Comput Biol Bioinform and referenced in Advancements in Genetic Engineering

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

  • International Conference on Epigenetics 2017
    November 13-15, 2017 Frankfurt, Germany
  • International Conference on Genetic Counseling and Genomic Medicine
    February 12-13, 2018 Madrid, Spain

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords