Find covariation patterns between interacted cell types from spatial data
Project description
nico
Under construction! Ready for limited use! Currently experimenting and planning!
Developed by Ankit Agrawal (c) 2023
required packages (How to install them and their version)
conda create -n nicoUser python=3.9
conda activate nicoUser
conda install -c "conda-forge/label/gcc7" xlsxwriter
pip install gseapy, scanpy, shap, pydot, leidenalg
pip install jupyter notebook
seaborn.__version__
'0.12.2'
scipy.__version__
'1.10.1'
matplotlib.__version__
'3.7.1'
scanpy.__version__
'1.9.3'
numpy.__version__
'1.23.5'
gseapy.__version__
'1.0.4'
numba.__version__
'0.56.4'
shap.__version__
'0.41.0'
xgboost.__version__ (only required if shap analysis is on)
'1.7.5'
from nico import Spatial_Annotations as sann
from nico import Spatial_Interactions as sint
from nico import Spatial_Covariations as scov
Creating the tutorial
will come soon ...
# Choose One
Check out more: Thanks to following two packages to built nico SCTransformPy https://github.com/atarashansky/SCTransformPy pyliger https://github.com/welch-lab/pyliger
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nico-sc-sp-0.0.3.tar.gz
(50.0 kB
view hashes)
Built Distribution
nico_sc_sp-0.0.3-py3-none-any.whl
(50.9 kB
view hashes)
Close
Hashes for nico_sc_sp-0.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6316d2415a767ff3fb9bd757ee601e328508f5ea967f9af077a0fb0535389098 |
|
MD5 | 934ee934a36833e364753486e2311d58 |
|
BLAKE2b-256 | 74052c4012019e59c63b1b5e87c7daa0872072432dc530466bdd7347bd13e5cf |