Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Error in validate_infercnv_obj(infercnv_obj): Problem detected w/ infercnv_obj and Error: No feature overlap between existing object and new layer data #659

Open
Prakrithi-P opened this issue Apr 23, 2024 · 0 comments

Comments

@Prakrithi-P
Copy link

Hi when I run inferCNV I get errors, irrespective of the versions.

In an older Version

options("CY112sn_subset.assay.version" = "v3")
infercnv_obj = CreateInfercnvObject(
raw_counts_matrix=GetAssayData(CY112sn_subset, slot="scale.data"),
annotations_file=infercnv_meta,
delim="\t",
gene_order_file="infercnv//hg38_gencode_v27.txt",
ref_group_names=c("CD8+ T cell","B cell","CD4+ T cell","Lymphatic endothelial cell","Fibroblast","Endothelial cell"))
#Macrophage

out_dir = tempfile()
infercnv_obj_default = infercnv::run(
infercnv_obj,
cutoff=1, # cutoff=1 works well for Smart-seq2, and cutoff=0.1 works well for 10x Genomics
out_dir="./infercnv/CY112/",
cluster_by_groups=TRUE,
plot_steps=FALSE,
denoise=TRUE,
HMM=FALSE,
no_prelim_plot=TRUE,
png_res=60
)

This gave me the following error:
INFO [2024-04-18 17:56:52] define_signif_tumor_subclusters(p_val=0.1
INFO [2024-04-18 17:56:52] define_signif_tumor_subclusters(), tumor: CD8+ T cell
INFO [2024-04-18 17:56:52] Less cells in group CD8+ T cell than k_nn setting. Keeping as a single subcluster.
INFO [2024-04-18 17:56:52] define_signif_tumor_subclusters(), tumor: B cell
INFO [2024-04-18 17:56:52] Less cells in group B cell than k_nn setting. Keeping as a single subcluster.
INFO [2024-04-18 17:56:52] define_signif_tumor_subclusters(), tumor: Macrophage
Warning message:
“Data is of class matrix. Coercing to dgCMatrix.”
Error: No feature overlap between existing object and new layer data
Traceback:

  1. infercnv::run(infercnv_obj, cutoff = 1, out_dir = "./infercnv/CY112/",
    . cluster_by_groups = TRUE, plot_steps = FALSE, denoise = TRUE,
    . HMM = FALSE, no_prelim_plot = TRUE, png_res = 60)
  2. define_signif_tumor_subclusters(infercnv_obj = infercnv_obj,
    . p_val = tumor_subcluster_pval, k_nn = k_nn, leiden_resolution = leiden_resolution,
    . leiden_method = leiden_method, leiden_function = leiden_function,
    . hclust_method = hclust_method, cluster_by_groups = cluster_by_groups,
    . partition_method = tumor_subcluster_partition_method, per_chr_hmm_subclusters = per_chr_hmm_subclusters,
    . z_score_filter = z_score_filter)
  3. .single_tumor_leiden_subclustering(tumor_group = tumor_group,
    . tumor_group_idx = tumor_group_idx, tumor_expr_data = tumor_expr_data,
    . chrs = chrs, k_nn = k_nn, leiden_resolution = leiden_resolution,
    . leiden_method = leiden_method, leiden_function = leiden_function,
    . hclust_method = hclust_method)
  4. .leiden_seurat_preprocess_routine(expr_data = tumor_expr_data,
    . k_nn = k_nn, resolution_parameter = leiden_resolution, objective_function = leiden_function)
  5. CreateSeuratObject(expr_data, assay = "infercnv", project = "infercnv",
    . names.field = 1)
  6. CreateSeuratObject.default(expr_data, assay = "infercnv", project = "infercnv",
    . names.field = 1)
  7. CreateAssay5Object(counts = counts, min.cells = min.cells, min.features = min.features,
    . ...)
  8. .CreateStdAssay(counts = counts, min.cells = min.cells, min.features = min.features,
    . transpose = transpose, type = type, csum = csum, fsum = fsum,
    . ...)
  9. .CreateStdAssay.list(counts = counts, min.cells = min.cells,
    . min.features = min.features, transpose = transpose, type = type,
    . csum = csum, fsum = fsum, ...)
  10. LayerData<-(object = *tmp*, layer = layer, features = features[[layer]],
    . cells = cells[[layer]], transpose = transpose, value = counts[[layer]])
  11. LayerData<-.Assay5(object = *tmp*, layer = layer, features = features[[layer]],
    . cells = cells[[layer]], transpose = transpose, value = counts[[layer]])
  12. stop("No feature overlap between existing object and new layer data",
    . call. = FALSE)

In the New version 1.19.1, the same command gives the following error:
INFO [2024-04-23 18:08:51] ::above_min_mean_expr_cutoff:Start
INFO [2024-04-23 18:08:51] Removing 1919 genes from matrix as below mean expr threshold: 1
INFO [2024-04-23 18:08:51] validating infercnv_obj
ERROR [2024-04-23 18:08:51] hmm.... rownames([email protected] != rownames(infercnv_obj@gene_order))
Error in validate_infercnv_obj(infercnv_obj): Problem detected w/ infercnv_obj
Traceback:

  1. infercnv::run(infercnv_obj, cutoff = 1, out_dir = "./infercnv/CY128/",
    . cluster_by_groups = TRUE, plot_steps = FALSE, denoise = TRUE,
    . HMM = FALSE, no_prelim_plot = TRUE, png_res = 60)
  2. require_above_min_mean_expr_cutoff(infercnv_obj, cutoff)
  3. remove_genes(infercnv_obj, indices)
  4. validate_infercnv_obj(infercnv_obj)
  5. stop("Problem detected w/ infercnv_obj")

I get the same errors despite the rownames being the same. Could you please help me solve this?

Thanks,
Prakrithi

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant