Indexado em
  • Banco de Dados de Periódicos Acadêmicos
  • Abra o Portão J
  • Genamics JournalSeek
  • JournalTOCs
  • Bíblia de pesquisa
  • Diretório de Periódicos de Ulrich
  • Biblioteca de periódicos eletrônicos
  • RefSeek
  • Universidade de Hamdard
  • EBSCO AZ
  • OCLC- WorldCat
  • Scholarsteer
  • Catálogo online SWB
  • Biblioteca Virtual de Biologia (vifabio)
  • publons
  • MIAR
  • Fundação de Genebra para Educação e Pesquisa Médica
  • Euro Pub
  • Google Scholar
Compartilhe esta página
Folheto de jornal
Flyer image

Abstrato

Combining Disparate Data Types: Protein Sequences and Protein Structures

Kejue Jia and Robert L. Jernigan

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.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado