MingBit

Hey! I just tested the simple flask app which shows the request method is 'GET'.. but no response from `r = requests.get('https://dash-pyscnet.herokuapp.com:33507')` i run the simple flask app first and...

Cool.. So i just set the flask app port as '8080' which is the same for dash-pyscnet in heroku. I need to have a look how to check/modify the port...

Perfect!! It works! :+1:

issue code: **`PlotCellsNumberLogLog(d$aligned_umis_per_cell, T, show.legend=F)`** issue code: **` scores

Issue fixed by modifying two parameters: :+1: 1) drop_seq.xml: **unlimited** 2) re-run dropest without **`-u`**

Sorry for the second question. As I've learned from [here](https://dropest.readthedocs.io/en/latest/droptag.html#drop-seq), this package **was not** properly tested with drop-seq dataset. It works somehow smoothly with my drop-seq data. The figures below...

Thank you for your reply. :+1: Yes.. **96 cell barcodes** would be a whitelist. I re-run the dropest step with following changes (**1+2+3, 1+3**): 1) add new `../barcodes.csv` 2) change...

same here.. with monocle2..

Thanks for response. I was using this one: **Mus_musculus.GRCm38.dna.primary_assembly.fasta** Download from ftp://ftp.ensembl.org/pub/release-91/fasta/mus_musculus/dna/

Thanks for your explanation. :) In terms of K values, as I understood, cell sub-populations are identified from the generated KNN graph and then detected by Louvain community detection method....