Article
Combining Disparate Data Types: Protein Sequences and Protein Structures
Journal of Data Mining in Genomics & Proteomics
Document Type
Editorial
Disciplines
Publication Version
Published Version
Publication Date
1-1-2015
DOI
10.4172/2153-0602.1000e117
Abstract
With the development of high-throughput, next-generation sequencing and other advanced technologies, a large number of gene expression profiles have been produced. Many of these profiles are available from public databases [1-3]. A challenging research problem that has drawn a lot of attention in the past is to infer gene regulatory networks from the expression data. A gene regulatory network is represented by a directed graph, in which nodes represent transcription factors or mRNA with edges showing transcriptional regulatory relationships between two nodes.
Creative Commons License
Creative Commons Attribution 4.0
Copyright Owner
Jia K, et al.
Copyright Date
2015
Language
en
File Format
application/pdf
Citation Information
Kejue Jia and Robert L. Jernigan. "Combining Disparate Data Types: Protein Sequences and Protein Structures" Journal of Data Mining in Genomics & Proteomics Vol. 6 Iss. 1 (2015) p. e117 Available at: http://works.bepress.com/robert-jernigan/34/
This article is published as Kejue Jia and Robert L. Jernigan (2015) Combining Disparate Data Types: Protein Sequences and Protein Structures. J Data Mining Genomics Proteomics 6:e117. doi: 10.4172/2153-0602.1000e117. Posted with permission.