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  "Description": "Implements a new method 'ClussCluster' descried in Ge\nJiang and Jun Li, \"Simultaneous Detection of Clusters and\nCluster-Specific Genes in High-throughput Transcriptome Data\"\n(Unpublished). Simultaneously perform clustering analysis and\nsignature gene selection on high-dimensional transcriptome data\nsets.  To do so, 'ClussCluster' incorporates a Lasso-type\nregularization penalty term to the objective function of K-\nmeans so that cell-type-specific signature genes can be\nidentified while clustering the cells.",
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      "page": "ClussCluster",
      "title": "Performs simultaneous detection of cell types and cell-type-specific signature genes",
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        "ClussCluster",
        "ClussCluster_Gap"
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      "title": "A truncated subset of the scRNA-seq expression data set from Hou et.al (2016)",
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        "top.m.hm"
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        "2. Example Data set",
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        "4. Determine the tuning parameter",
        "5. Run ClussCluster",
        "Viewing Clustering Results",
        "Cell-type-specific signature genes",
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        "7. References"
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