SIMLR: A Tool for Large‐Scale Genomic Analyses by Multi‐Kernel Learning

@article{Wang2018SIMLRAT,
  title={SIMLR: A Tool for Large‐Scale Genomic Analyses by Multi‐Kernel Learning},
  author={Bo Wang and Daniele Ramazzotti and Luca De Sano and Junjie Zhu and Emma Pierson and Serafim Batzoglou},
  journal={PROTEOMICS},
  year={2018},
  volume={18}
}
SIMLR (Single‐cell Interpretation via Multi‐kernel LeaRning), an open‐source tool that implements a novel framework to learn a sample‐to‐sample similarity measure from expression data observed for heterogenous samples, is presented here. SIMLR can be effectively used to perform tasks such as dimension reduction, clustering, and visualization of heterogeneous populations of samples. SIMLR was benchmarked against state‐of‐the‐art methods for these three tasks on several public datasets, showing… 
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