single-cell loop analysis
Project description
scloop - single-cell loop analysis
Note: this package is still under development.
scLoop is a library to identify statistically significant loops in single-cell RNA-seq data.
Basic Usage
import scloop as scl
scl.pp.prepare_adata(adata, downsample=True, n_downsample=500)
scl.tl.find_loops(adata, ...)
scl.tl.analyze_loops(adata, ...)
scl.tl.match_loops([adata1, adata2, ...], ...)
Build Instructions
make build
or
make rebuild
Virtual Envrionemnt
make sync
or
make full-sync
to prevent partial compilation of some modules
Installation
Note: this package is still under development. The current build will likely not work.
pip install scloop
Project Structure
src/scloop/
├── analyzing
│ └── __init__.py
├── benchmarking
│ └── __init__.py
├── computing
│ ├── homology.py
│ └── __init__.py
├── data
│ ├── analysis_containers.py
│ ├── base_components.py
│ ├── containers.py
│ ├── __init__.py
│ ├── loop_reconstruction.py
│ ├── metadata.py
│ ├── ripser.cpp
│ ├── ripser.hpp
│ ├── ripser_lib.cpp
│ ├── ripser_lib.pyx
│ ├── types.py
│ └── utils.py
├── __init__.py
├── matching
│ ├── cross_dataset.py
│ ├── data_modules.py
│ ├── __init__.py
│ ├── mlp.py
│ └── nf.py
├── plotting
│ ├── _hodge.py
│ ├── _homology.py
│ ├── __init__.py
│ └── _utils.py
├── preprocessing
│ ├── delve
│ │ ├── delve.py
│ │ ├── __init__.py
│ │ └── kh.py
│ ├── downsample.py
│ ├── __init__.py
│ └── prepare.py
├── py.typed
├── tools
│ ├── _cross_match.py
│ ├── __init__.py
│ └── _loops.py
└── utils
├── distance_metrics
│ ├── discrete-frechet-distance
│ ├── frechet.cpp
│ ├── frechet.pyx
│ └── __init__.py
├── __init__.py
└── linear_algebra_gf2
├── gf2_toolkit_lib.pyx
├── __init__.py
├── m4ri_lib.c
└── m4ri_lib.pyx
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