PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia.\', \'Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.\', \'Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia.\', \'Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.\', \'Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Westmead, NSW, Australia.\', \'Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong SAR, China.\', \'School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia. ellis.patrick@sydney.edu.au.\', \'Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia. ellis.patrick@sydney.edu.au.\', \'Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong SAR, China. ellis.patrick@sydney.edu.au.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1186/s13059-021-02526-5
?:doi
?:hasPublicationType
?:journal
  • Genome biology
is ?:pmid of
?:pmid
?:pmid
  • 34844647
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 12.74
?:rankingScore_hIndex
  • 198
?:title
  • treekoR: identifying cellular-to-phenotype associations by elucidating hierarchical relationships in high-dimensional cytometry data.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all