Learning Context-Specific Gene Regulatory Networks via In-Silico Conditioning Conference Paper

abstract

• Cell adjusts its regulatory machinery in response to environmental changes to maintain its basic functionality. Different cellular conditions require different regulatory mechanisms that tightly regulate genes. Due to this tightly coordinated regulation, the expression of those genes should show consistent patterns within the same cellular contexts while such consistency disappears when corresponding context is disrupted. Based on previously developed statistics to identify genes whose expression pattern is significantly more consistent within a specific biologic context, we have developed an algorithm to identify novel cellular contexts and learn underlying context-specific gene regulatory networks. 2007 IEEE.

name of conference

• 2007 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Dougherty, Edward

published proceedings

• 2007 IEEE International Workshop on Genomic Signal Processing and Statistics

author list (cited authors)

• Kim, S., Roy, I., Raghavan, S., Dougherty, E. R., & Bittner, M.

citation count

• 1

complete list of authors

• Kim, Seungchan||Roy, Ina||Raghavan, Siddharth||Dougherty, Edward R||Bittner, Michael

publication date

• June 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• 1 Underpinning Research
• 1.1 Normal Biological Development And Functioning
• Biotechnology
• Generic Health Relevance
• Genetics

Digital Object Identifier (DOI)

• 10.1109/gensips.2007.4365831

International Standard Book Number (ISBN) 10

• 1424409993

International Standard Book Number (ISBN) 13

• 9781424409990

start page

• 1

end page

• 4

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fgensips.2007.4365831