PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'School of Life Sciences, Shanghai University, Shanghai 200444, China.\', \'Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.\', \'Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.\', \'College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1155/2020/4256301
?:doi
?:hasPublicationType
?:journal
  • BioMed research international
is ?:pmid of
?:pmid
?:pmid
  • 32685484
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.935
?:rankingScore_hIndex
  • 82
is ?:relation_isRelatedTo_publication of
?:title
  • Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus-Human Protein Interaction Network.
?:type
?:year
  • 2020

Metadata

Anon_0  
expand all