Duņ, Angelo <br/><br/>
A systematic performance evaluation of clustering methods for single-cell RNA-seq data.  [electronic resource] 

 -  F1000Research  2018 
 - 1141 p.  digital 
<br/><br/> Publication Type: Equivalence Trial; Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>2046-1402 
<br/><br/><label>Standard No.: </label>10.12688/f1000research.15666.1  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Cluster Analysis<br/>Gene Expression Profiling<br/>Humans<br/>RNA, Small Cytoplasmic--biosynthesis<br/>Sequence Analysis, RNA--methods<br/>Single-Cell Analysis--methods<br/>Software