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Automatic and optimised consensus clustering of one or more heterogeneous datasets

Results 21 clust issues
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Hello, I have been unable to include alphanumeric text in fields 2 or 3 of the replicates file without encountering an error: ``` | Analysis started at: Thursday 12 May...

Hello, I tried to run clust as follows `clust unnorm_TPM_abundance.txt -r replicates_file_for_clust.txt -o clust_output` But it throws an error in the output.py script "ValueError: all the input array dimensions except...

Hello, I'm trying clust but it seems I can't get de --no-fil-flat option for avoid gene filtering during pre-processing steps. This is my line of code: $ clust input_file.txt --no-fil-flat...

Hello, I have normalized gene expression data from an alga experiment on a gradient stress table. To provide the background, I had a table with 42 samples. Temperature increases from...

Clust threw an error when running on a .tsv file with TPM numbers. I installed via bioconda and ran using default settings. Conda env: [clust_environment.txt](https://github.com/BaselAbujamous/clust/files/7972506/clust_environment.txt) Test output from clust: [clust_error.txt](https://github.com/BaselAbujamous/clust/files/7972520/clust_error.txt)

I'm wondering if I can use a precomputed distance matrix like with scikit-learn. Also, how can I use in a python environment (not via commandline)?

Hi, I cant find anything on the web page related to make the plots colored, but in the paper clusters are colored. So how can I do that? Thanks !

Hello. For the past few weeks, when I used the clust website (http://clust.baselabujamous.com/Home.aspx) running Clust to make co-expressed gene clusters from one or two datasets, but I have been kept...

Hello, I have been using this tool for several RNA-seq dataset and the results were incredibly helpful and insightful. Thank you for providing such a nice tool and comprehensive documentation....

Hello, I am testing a sub clustering approach as described below: 1. Execute a Clust on data set X(1 tabular file). 2. Get genes from an interesting cluster Y. 3....