Name
Title | ||
|---|---|---|
Cell type discovery and representation in the era of high-content single cell phenotyping. |
Abstract | ||
|---|---|---|
The advent of high-throughput/high-content single cell technologies is leading to an explosion in the number of distinct cell types being identified. It will be critical for the bioinformatics community to develop and adopt data standard conventions that will be compatible with these new technologies and support the data representation needs of the research community. The proposals enumerated here will serve as a useful starting point to address these challenges. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1977-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Cell ontology,Cell phenotype,Cytometry,Marker genes,Neuron,Next generation sequencing,Open biomedical ontologies,Peripheral blood mononuclear cells,Single cell transcriptomics | Ontology,Metadata,Multicellular organism,External Data Representation,Biology,Open Biomedical Ontologies,Cell type,Biomarker discovery,Computational biology,Genetics,Cytometry | Journal |
Volume | Issue | ISSN |
18 | S-17 | 1471-2105 |
Citations | PageRank | References |
1 | 0.63 | 8 |
Authors | ||
15 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trygve Bakken | 1 | 1 | 0.96 |
| Lindsay G. Cowell | 2 | 153 | 15.43 |
| Brian D. Aevermann | 3 | 2 | 1.40 |
| Mark Novotny | 4 | 1 | 0.96 |
| Rebecca Hodge | 5 | 1 | 0.96 |
| Jeremy A. Miller | 6 | 24 | 2.71 |
| Alexandra J. Lee | 7 | 2 | 1.06 |
| Ivan Chang | 8 | 1 | 1.30 |
| Jamison M. McCorrison | 9 | 9 | 1.43 |
| Bali Pulendran | 10 | 1 | 0.63 |
| Yu Qian | 11 | 28 | 2.98 |
| Nicholas J Schork | 12 | 39 | 7.06 |
| Roger S. Lasken | 13 | 9 | 1.43 |
| ed s lein | 14 | 6 | 2.02 |
| Richard H. Scheuermann | 15 | 258 | 23.91 |