000 01115 a2200313 4500
005 20250518001508.0
264 0 _c20190904
008 201909s 0 0 eng d
022 _a2046-1402
024 7 _a10.12688/f1000research.15666.1
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aDuò, Angelo
245 0 0 _aA systematic performance evaluation of clustering methods for single-cell RNA-seq data.
_h[electronic resource]
260 _bF1000Research
_c2018
300 _a1141 p.
_bdigital
500 _aPublication Type: Equivalence Trial; Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAlgorithms
650 0 4 _aCluster Analysis
650 0 4 _aGene Expression Profiling
650 0 4 _aHumans
650 0 4 _aRNA, Small Cytoplasmic
_xbiosynthesis
650 0 4 _aSequence Analysis, RNA
_xmethods
650 0 4 _aSingle-Cell Analysis
_xmethods
650 0 4 _aSoftware
700 1 _aRobinson, Mark D
700 1 _aSoneson, Charlotte
773 0 _tF1000Research
_gvol. 7
_gp. 1141
856 4 0 _uhttps://doi.org/10.12688/f1000research.15666.1
_zAvailable from publisher's website
999 _c28890476
_d28890476