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STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

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Hello, I'm having trouble upgrading the version of STREAM. While before I had no errors, now none of my scripts work. I work with conda environments and here is the...

First thanks for the nice tool! I was trying to mapping two scATAC-seq data, eg, ko to wt, with stream v1.0 In both datasets I used the precomputated UMAP projections....

Dear, Thank you for this good package, well, I can install this successfully, but when I run the jupyter I cannot even import stream as st. Always returns to "The...

my code is : import stream as st adata=st.read(file_name='/outs/filtered_peak_bc_matrix/matrix.mtx', file_sample='/outs/filtered_peak_bc_matrix/barcodes.tsv', file_feature='/outs/filtered_peak_bc_matrix/peaks.bed', file_format='mtx',workdir='./result_atac') adata.var.index =adata.var[0].astype(str) + '_' + adata.var[1].astype(str) +'_' + adata.var[2].astype(str) st.cal_qc(adata2,assay='atac') the error is : ValueError Traceback (most recent...

Hi there, I'm using Miniconda3 with Python 3.8.3 on win32, I'm relatively new to Python though as I've always worked in R. When I try to install STREAM as suggested:...

Hello, I have already annotated object from SCANPY that I am trying to use in the stream. But I can't select and visualize cell types from my data while making...

Hi, is it possible to use h5Seurat format converted by SeuratDisk in STREAM? https://mojaveazure.github.io/seurat-disk/articles/convert-anndata.html My data is integrated seurat object.

recently i find a bug in core.py the raw code is : ax_i.legend(handles=legend_handles[1:], labels=legend_labels[1:], code in this way will loss the first legend label i change the code into ax_i.legend(handles=legend_handles[0:],...

Hi, I'm using a loom file saving from a seurat object. My adata is like: AnnData object with n_obs × n_vars = 56109 × 22965 obs: 'ClusterID', 'ClusterName', 'DF_classification', 'RNA_snn_res_1_5',...

To recreate using https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM3674239, ``` import stream from scipy.io import mmread import pandas as pd name = 'GSM3674239_b1' x = mmread('data/' + name + '.matrix.mtx') gene_names = pd.read_csv('data/' + name...