Thanks for implementing this in python! Unfortunately I'm encountering an index error :
IndexError 'get_nearestneighbor' -> index 0 is out of bounds for axis 0 with size 0
more specifically :
---> 20 nn_idx.append(cols[idx[neighbor-1]])
Here's some details:
The PCA for the protein modality:
adata_ADT = mudata.mod["ADT"]sc.pp.pca(adata_ADT, n_comps=20)adata_ADT.obsm["X_pca"].shape
adata_ADT is of the form:
AnnData object with n_obs × n_vars = 9635 × 23var: 'highly_variable'uns: 'pca'obsm: 'X_pca'varm: 'PCs'layers: 'counts', 'data'
Now the RNA modality (adata_RNA) and its PCA:
adata_RNA = mudata.mod["RNA"]sc.pp.pca(adata_RNA, n_comps=20)adata_RNA.obsm["X_pca"].shape
adata_RNA is of the form:
AnnData object with n_obs × n_vars = 9635 × 32285obs: 'cellType', 'condition', 'sample_batch'uns: 'pca', 'cellType_colors', 'condition_colors'obsm: 'X_pca', 'X_wnn.umap', 'RNA_PCA', 'ADT_PCA'varm: 'PCs'layers: 'counts', 'data'
X_wnn.umap comes from Seurat (but I want to switch to python).
I did before :
adata_RNA.obsm["RNA_PCA"] = adata_RNA.obsm["X_pca"]adata_RNA.obsm["ADT_PCA"] = adata_ADT.obsm["X_pca"]
Then :
WNNobj = pyWNN(adata_RNA, reps=['RNA_PCA', 'ADT_PCA'], npcs=[30,18], n_neighbors=20, seed=14)
Do you have any idea of what the problem might be?
Thanks in advance,
Déborah
UPDATE : II'll close the issue myself: basically sc.pp.neighbors(adata_ADT) and sc.pp.neighbors(adata_RNA) were missing !
Hi @dylkot,
Thanks for implementing this in python! Unfortunately I'm encountering an index error :
IndexError 'get_nearestneighbor' -> index 0 is out of bounds for axis 0 with size 0
more specifically :---> 20 nn_idx.append(cols[idx[neighbor-1]])
Here's some details:
The PCA for the protein modality:
adata_ADT = mudata.mod["ADT"]
sc.pp.pca(adata_ADT, n_comps=20)
adata_ADT.obsm["X_pca"].shape
adata_ADT is of the form:AnnData object with n_obs × n_vars = 9635 × 23
var: 'highly_variable'
uns: 'pca'
obsm: 'X_pca'
varm: 'PCs'
layers: 'counts', 'data'
Now the RNA modality (adata_RNA) and its PCA:
adata_RNA = mudata.mod["RNA"]
sc.pp.pca(adata_RNA, n_comps=20)
adata_RNA.obsm["X_pca"].shape
adata_RNA is of the form:
AnnData object with n_obs × n_vars = 9635 × 32285
obs: 'cellType', 'condition', 'sample_batch'
uns: 'pca', 'cellType_colors', 'condition_colors'
obsm: 'X_pca', 'X_wnn.umap', 'RNA_PCA', 'ADT_PCA'
varm: 'PCs'
layers: 'counts', 'data'
X_wnn.umap comes from Seurat (but I want to switch to python). I did before :adata_RNA.obsm["RNA_PCA"] = adata_RNA.obsm["X_pca"]
adata_RNA.obsm["ADT_PCA"] = adata_ADT.obsm["X_pca"]
Then :
WNNobj = pyWNN(adata_RNA, reps=['RNA_PCA', 'ADT_PCA'], npcs=[30,18], n_neighbors=20, seed=14)
Do you have any idea of what the problem might be?
Thanks in advance, Déborah
UPDATE : II'll close the issue myself: basically
sc.pp.neighbors(adata_ADT)
andsc.pp.neighbors(adata_RNA)
were missing !