Hi,

I am following the tutorial on BioConductor and getting the error below. Any help would be appreciated.

Best,

Jozsef

> input <- CHETAHclassifier(input = input, ref_cells = reference)
Preparing data....    

Running analysis... 

> PlotCHETAH(input)
Error in `rownames<-`(`*tmp*`, value = colnames(x)) : 
  attempt to set 'rownames' on an object with no dimensions
> sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] Matrix_1.2-17               CHETAH_1.0.5                SingleCellExperiment_1.6.0  SummarizedExperiment_1.14.1 DelayedArray_0.10.0         BiocParallel_1.18.1        
 [7] matrixStats_0.55.0          Biobase_2.44.0              GenomicRanges_1.36.1        GenomeInfoDb_1.20.0         IRanges_2.18.3              S4Vectors_0.22.1           
[13] BiocGenerics_0.30.0         ggplot2_3.2.1               Seurat_3.1.0               

loaded via a namespace (and not attached):
  [1] Rtsne_0.15             colorspace_1.4-1       ggridges_0.5.1         XVector_0.24.0         leiden_0.3.1           listenv_0.7.0          npsurv_0.4-0           ggrepel_0.8.1         
  [9] codetools_0.2-16       splines_3.6.0          R.methodsS3_1.7.1      lsei_1.2-0             zeallot_0.1.0          jsonlite_1.6           ica_1.0-2              cluster_2.0.8         
 [17] png_0.1-7              R.oo_1.22.0            pheatmap_1.0.12        uwot_0.1.4             shiny_1.3.2            sctransform_0.2.0      compiler_3.6.0         httr_1.4.1            
 [25] backports_1.1.4        assertthat_0.2.1       lazyeval_0.2.2         later_0.8.0            htmltools_0.3.6        tools_3.6.0            rsvd_1.0.2             igraph_1.2.4.1        
 [33] gtable_0.3.0           glue_1.3.1             GenomeInfoDbData_1.2.1 RANN_2.6.1             reshape2_1.4.3         dplyr_0.8.3            Rcpp_1.0.2             vctrs_0.2.0           
 [41] gdata_2.18.0           ape_5.3                nlme_3.1-139           gbRd_0.4-11            lmtest_0.9-37          stringr_1.4.0          globals_0.12.4         mime_0.7              
 [49] lifecycle_0.1.0        irlba_2.3.3            gtools_3.8.1           dendextend_1.12.0      future_1.14.0          MASS_7.3-51.4          zlibbioc_1.30.0        zoo_1.8-6             
 [57] scales_1.0.0           promises_1.0.1         bioDist_1.56.0         RColorBrewer_1.1-2     reticulate_1.13        pbapply_1.4-2          gridExtra_2.3          stringi_1.4.3         
 [65] corrplot_0.84          caTools_1.17.1.2       bibtex_0.4.2           Rdpack_0.11-0          SDMTools_1.1-221.1     rlang_0.4.0            pkgconfig_2.0.3        bitops_1.0-6          
 [73] lattice_0.20-38        ROCR_1.0-7             purrr_0.3.2            htmlwidgets_1.3        labeling_0.3           cowplot_1.0.0          tidyselect_0.2.5       RcppAnnoy_0.0.13      
 [81] plyr_1.8.4             magrittr_1.5           R6_2.4.0               gplots_3.0.1.1         pillar_1.4.2           withr_2.1.2            fitdistrplus_1.0-14    survival_2.44-1.1     
 [89] RCurl_1.95-4.12        tibble_2.1.3           future.apply_1.3.0     tsne_0.1-3             crayon_1.3.4           KernSmooth_2.23-15     plotly_4.9.0           viridis_0.5.1         
 [97] grid_3.6.0             data.table_1.12.2      metap_1.1              digest_0.6.21          xtable_1.8-4           tidyr_1.0.0            httpuv_1.5.2           R.utils_2.9.0         
[105] RcppParallel_4.4.4     munsell_0.5.0          viridisLite_0.3.0