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+template: |
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+ params: |
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+ bootswatch: yeti |
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+ |
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+reference: |
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+- title: Function Documentation |
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+ desc: Man pages for all functions exported by celda |
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+ contents: |
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+ - '`available_models`' |
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+ - '`calc.perplexity`' |
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+ - '`calc.perplexity2`' |
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+ - '`calculateLoglikFromVariables.celda_C`' |
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+ - '`calculateLoglikFromVariables.celda_CG`' |
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+ - '`calculateLoglikFromVariables.celda_G`' |
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+ - '`calculateLoglikFromVariables`' |
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+ - '`calculatePerplexity.celda_C`' |
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+ - '`calculatePerplexity.celda_CG`' |
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+ - '`calculatePerplexity.celda_G`' |
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+ - '`calculatePerplexity`' |
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+ - '`calculatePerplexityWithResampling`' |
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+ - '`calculateTsne`' |
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+ - '`cC.decomposeCounts`' |
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+ - '`cCG.decomposeCounts`' |
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+ - '`celda`' |
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+ - '`celdaGridSearch`' |
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+ - '`celdaHeatmap.celda_C`' |
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+ - '`celdaHeatmap.celda_CG`' |
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+ - '`celdaHeatmap.celda_G`' |
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+ - '`celdaHeatmap`' |
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+ - '`celdaProbabilityMap.celda_C`' |
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+ - '`celdaProbabilityMap.celda_CG`' |
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+ - '`celdaProbabilityMap`' |
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+ - '`celdaTsne.celda_C`' |
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+ - '`celdaTsne.celda_CG`' |
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+ - '`celdaTsne.celda_G`' |
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+ - '`celdaTsne`' |
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+ - '`celda_C`' |
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+ - '`celda_CG`' |
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+ - '`celda_G`' |
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+ - '`cG.decomposeCounts`' |
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+ - '`clusterProbability.celda_C`' |
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+ - '`clusterProbability.celda_CG`' |
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+ - '`clusterProbability.celda_G`' |
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+ - '`clusterProbability`' |
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+ - '`compareCountMatrix`' |
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+ - '`completeLogLikelihood`' |
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+ - '`differentialExpression`' |
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+ - '`distinct_colors`' |
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+ - '`eigenMatMultInt`' |
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+ - '`factorizeMatrix.celda_C`' |
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+ - '`factorizeMatrix.celda_CG`' |
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+ - '`factorizeMatrix.celda_G`' |
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+ - '`factorizeMatrix`' |
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+ - '`fastNormProp`' |
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+ - '`fastNormPropLog`' |
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+ - '`fastNormPropSqrt`' |
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+ - '`featureModuleLookup.celda_C`' |
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+ - '`featureModuleLookup.celda_CG`' |
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+ - '`featureModuleLookup.celda_G`' |
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+ - '`featureModuleLookup`' |
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+ - '`finalLogLikelihood`' |
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+ - '`moduleHeatmap`' |
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+ - '`normalizeCounts`' |
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+ - '`pbmc_res`' |
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+ - '`pbmc_select`' |
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+ - '`plotDimReduceCluster`' |
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+ - '`plotDimReduceGene`' |
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+ - '`plotDimReduceGrid`' |
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+ - '`plotDimReduceState`' |
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+ - '`plotGridSearchPerplexity.celda_C`' |
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+ - '`plotGridSearchPerplexity.celda_CG`' |
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+ - '`plotGridSearchPerplexity.celda_G`' |
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+ - '`plotGridSearchPerplexity`' |
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+ - '`plotHeatmap`' |
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+ - '`recodeClusterY`' |
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+ - '`recodeClusterZ`' |
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+ - '`runParams`' |
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+ - '`sample.cells`' |
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+ - '`selectBestModel`' |
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+ - '`semi_pheatmap`' |
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+ - '`simulateCells.celda_C`' |
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+ - '`simulateCells.celda_CG`' |
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+ - '`simulateCells.celda_G`' |
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+ - '`simulateCells`' |
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+ - '`subsetCeldaList`' |
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+ - '`topRank`' |
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+ |
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+navbar: |
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+ structure: |
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+ left: |
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+ - home |
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+ - intro |
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+ - reference |
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+ - articles |
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+ - tutorials |
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+ - news |
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+ right: github |
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+ components: |
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+ home: |
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+ icon: fa-home fa-lg |
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+ href: index.html |
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+ reference: |
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+ text: Reference |
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+ href: reference/index.html |
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+ articles: |
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+ text: Articles |
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+ menu: |
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+ - text: Analyzing single-cell RNA-seq count data with Celda |
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+ href: articles/celda-analysis.html |