Integrating genomics and proteomics data to predict drug effects using binary linear programming.
The Library of Integrated Network-Based Cellular Signatures (LINCS) project aims to create a network-based understanding of biology by cataloging changes in gene expression and signal transduction that occur when cells are exposed to a variety of perturbations. It is helpful for understanding cell p...
Main Authors: | Zhiwei Ji, Jing Su, Chenglin Liu, Hongyan Wang, Deshuang Huang, Xiaobo Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4103865?pdf=render |
Similar Items
-
Binary Linear Codes and Binary Matrices
by: Driss Harzalla
Published: (2017-04-01) -
Predicting co-complexed protein pairs using genomic and proteomic data integration
by: King Oliver D, et al.
Published: (2004-04-01) -
Integrating Genomic and Proteomic Data: The Integr8 Project
by: Pruess Manuela, et al.
Published: (2004-12-01) -
On the Binary Classification Problem in Discriminant Analysis Using Linear Programming Methods
by: Michael O. Olusola, et al.
Published: (2020-01-01) -
Genomic, Proteomic, and Metabolomic Data Integration Strategies
by: Kwanjeera Wanichthanarak, et al.
Published: (2015-09-01)