identifying genes that aredifferentially expressedbetween time points or, if dataat multiple time points are notavailable, choosing genesabove a mean and variancethreshold
OscopeUses a paired-sine model andK-medoids clustering toidentify groups of oscillatorygenes. For each oscillatorygroup, an extended nearestinsertion algorithm is used toconstruct the cyclic order ofcells, defined as the order thatspecifies each cell’s positionwithin one cycle of theoscillation of that groupIdentifies groups of oscillatorygenes, when present. Requiresnormalized gene expressionand use of only high mean,high-variance genes isrecommendedPackageCommandlineUnix/Linux,Mac OS,WindowsR[102]TSCANA software tool developed tobetter support in silicopseudotime reconstruction insingle-cell RNA-seq analysis.TSCAN uses a cluster-basedminimum spanning tree(MST) approach to order cells.TSCAN has a graphical userinterface (GUI) to supportdata visualization and userinteractionSingle-cell data should beprepared in a matrix-like dataformat. Each row correspondsto a gene/feature and eachcolumn corresponds to asingle cellPackageCommandline/WebuserinterfaceUnix/Linux,Mac OS,WindowsR[103]
(continued)Applications of Single-Cell Sequencing for Multiomics 345